Ofertas de empleo para Python

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

Teletrabajo Python TSQL Git R Machine Learning

• Laboratorio de Biomarcadores Clínicos
• Data Scientist

¿Dónde vas a trabajar?

Multinational Biotech Company.

Descripción

• Diseñar y mantener pipelines bioinformáticos para proyectos de biomarcadores clínicos.
• Integrar datos procedentes de diferentes plataformas analíticas y estudios clínicos.
• Desarrollar modelos estadísticos y predictivos utilizando IA cuando aporte valor científico.
• Garantizar la calidad, integridad y trazabilidad de los datos.
• Automatizar procesos de análisis mediante R y Python.
• Generar informes, visualizaciones y presentaciones para equipos internos y colaboradores.
• Colaborar con científicos de laboratorio en la interpretación biológica de resultados.
• Participar en el diseño experimental y en la definición de estrategias de análisis de biomarcadores.
• Evaluar e implementar nuevas metodologías bioinformáticas y herramientas de IA.
• Contribuir a PNTs y documentación técnica del laboratorio.
• Compromiso con los objetivos e Imagen de la compañía
• Ética y Confidencialidad
• Desempeñar sus funciones de acuerdo con los valores, principios, normas, políticas y obligaciones que se contienen en el Código de Ética y de Conducta de la compañia

¿A quién buscamos (H/M/D)?

• Grado/Licenciatura en Bioinformática, Biología, Biotecnología, Bioquímica, Farmacia, Ingeniería Biomédica o similar o formación equivalente con competencias técnicas demostrables.
• Máster o formación especializada en Bioinformática, Ciencia de Datos o Inteligencia Artificial (muy valorable).
• Inglés medio-alto.
• 3-5 años de experiencia en bioinformática o ciencia de datos aplicada a biomedicina.
• Experiencia en análisis de datos -ómicos, biomarcadores o medicina traslacional.
• Experiencia en programación científica (R imprescindible; Python muy valorable).
• Experiencia en análisis estadísticos complejos (PCA, multivariables, etc)
• Experiencia en entorno farmacéutico, biotech o estudios clínicos.
• Experiencia en validación analítica en entornos clínicos
• Experiencia en programación científica, principalmente en R; se valorarán conocimientos en Python.
• Conocimientos sólidos de estadística aplicada, Machine Learning y desarrollo de modelos predictivos.
• Experiencia en análisis e integración de grandes volúmenes de datos biomédicos y multi-ómicos.
• Conocimientos de SQL, Git, visualización de datos y automatización de flujos de trabajo.
• Se valorarán conocimientos en GCP/GCLP y gestión de datos de estudios clínicos.
• Elevada capacidad analítica, pensamiento crítico y orientación a la resolución de problemas.
• Curiosidad científica, aprendizaje continuo y capacidad para incorporar nuevas tecnologías y herramientas de IA.
• Autonomía, iniciativa y capacidad para trabajar en equipos multidisciplinares, comunicando resultados complejos de forma clara.

¿Cuáles son tus beneficios?

• Desarrollo profesional y planificación de carrera
• Trabajo 100 % presencial (sin opción de teletrabajo)
• Horario flexible: entrada entre las 8:00 y las 10:00 a. m. / salida entre las 4:00 y las 6:00 p. m., de lunes a viernes
• Bono del 15 %
• Seguro médico
• 27 días laborables de vacaciones

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada13 jul.

Teletrabajo . Python Cloud Coumputing Kubernetes Git AWS Bash DevOps Terraform Kafka Office

Job Title: Senior Platform Engineer

Location: Madrid, Tres Cantos

Type: Full-time

Work model: remote work setup with occasional visits to the office

Type of contract: permanent contract of employment

📌 About the Role

We are looking for a skilled Platform Engineer to join our Platform Enablement Team. In this role, you will work closely with development teams to guide them in adopting unified DevOps practices, standardized tooling, and secure, scalable cloud solutions. Your work will directly influence platform consistency, developer productivity, and operational excellence across the organization.

Key Responsibilities

• Collaborate continuously with development teams to understand their needs, provide guidance, and support the adoption of platform standards.
• Drive harmonization of DevOps practices, tooling, and workflows across all engineering teams.
• Build and maintain shared platform components, including Kubernetes clusters, CI/CD pipelines, GitOps workflows, and infrastructure automation.
• Support teams in deploying and operating services on AWS, Kubernetes, ArgoCD, Helm, and related cloud-native technologies.
• Implement and maintain Infrastructure as Code using CloudFormation or Terraform.
• Develop automation and tooling using Python and Bash to optimize developer workflows.
• Promote security best practices and ensure platform solutions align with compliance and operational standards.
• Assist in the operation and optimization of Kafka and other shared services.
• DataDog monitoring.
• Provide technical mentoring on DevOps concepts, SDLC best practices, and developer tooling.
  
  

Required Skills & Qualifications

✅ Strong hands-on experience with AWS and cloud-native solutions.

✅ Deep understanding of Kubernetes and container orchestration.

✅ Experience with ArgoCD, Helm, and GitOps principles.

✅ Proficiency with GIT and branching strategies.

✅ Strong scripting and automation skills using Python and Bash.

✅ Experience with Kafka and distributed messaging systems.

✅ Knowledge of Infrastructure as Code (CloudFormation, Terraform).

✅ Experience building and improving CI/CD pipelines.

✅ Strong understanding of SDLC, developer workflows, and DevOps best practices.

✅ Experience with DataDog for monitoring and observability.

✅ Excellent written and verbal English communication skills, with the ability to work closely with multiple engineering teams.

✅ Solid understanding of security in cloud and DevOps environments.

Nice-to-Have Skills

💠 Background in platform engineering or internal developer platforms (IDP).

💠 AWS or Kubernetes certifications.

About Sanoma Learning

How do you prepare students for the world, engage their curiosity and inspire them to grow? That is the main question of teachers all around the world. At Sanoma Learning, it has always been our mission to help to find and develop best-in-class answers to this question. If you join us, it means that you embark on an exciting journey to help shape the future of learning for primary, secondary and vocational education. We believe that your journey is our success as a company.

Sanoma Learning is a leading K12 European learning company, operating in 12 countries. Our learning products and services enable and support teachers and schools to develop the talents of every child to reach their potential. By offering printed and digital learning content, as well as digital learning and teaching platforms for primary, secondary and vocational education, we want to grow our positive impact on learning across Europe. With over 3000 employees, we help shape the future of education for 25+ million of students.

So, are you ready to start your journey to help shape the future of learning and help teachers to support all students to reach their potential?

Sanoma Learning is an equal opportunity employer; we are committed to inclusion and diversity, ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada13 jul.

. Python Cloud Coumputing

Capgemini Engineering, líder mundial en servicios de ingeniería, reúne a equipos de ingenieros/as, científicos/as y arquitectos/as para ayudar a las empresas más innovadoras del mundo a liberar su potencial y contribuir a un futuro mejor. Desde coches autónomos hasta robots que salvan vidas, nuestros/as expertos/as en tecnologías digitales y software se salen de lo convencional proporcionando servicios únicos de I+D e ingeniería en todos los sectores de actividad. Únete al equipo y continúa tu carrera en una compañía con oportunidades de crecimiento, donde puedes marcar la diferencia y donde ningún día es igual al anterior.

Acerca del rol

¿Te gustaría participar en un proyecto del sector defensa centrado en el diseño e integración de bancos de prueba? Te incorporarás a un equipo de ingeniería donde trabajarás en el desarrollo completo de bancos de ensayo, desde el diseño electrónico y de cableado hasta su integración, validación y puesta en marcha.

El rol combina diseño hardware, integración de sistemas, testing y colaboración con equipos multidisciplinares en un entorno técnico y exigente.

¿Qué harás en el proyecto?

• Diseño de la arquitectura del banco de pruebas.
• Diseño electrónico de PCBs integradas en el banco.
• Diseño y definición de cableados y harness eléctricos.
• Puesta en marcha y validación de equipos de prueba antes de su entrega.
• Integración de componentes en colaboración con equipos mecánicos.
• Colaboración con equipos de software para el control y automatización del banco de pruebas.
• Gestión de documentación técnica y control de configuración.
• Revisión e interpretación de planos eléctricos, electrónicos y mecánicos.

Tu perfil

Para sentirte a gusto en la posición es necesario que puedas desenvolverte bien con:

• Formación en ingeniería electrónica, eléctrica o similar.
• Experiencia en diseño, desarrollo o mantenimiento de bancos de pruebas.
• Conocimientos en diseño de placas electrónicas (Altium, Mentor, KiCad u otras herramientas similares).
• Experiencia en diseño de cableado eléctrico e interpretación de planos.
• Manejo de instrumentación electrónica (osciloscopios, fuentes de alimentación, cargas, etc.).
• Conocimientos en integración hardware/software.
• Nivel de inglés B2 o superior.

Conocimientos valorables

• Experiencia con herramientas de automatización y adquisición de datos (LabVIEW, Python).
• Conocimientos en electrónica de potencia.
• Experiencia con protocolos de comunicación (SPI, I2C, CAN, UART, 1553).
• Experiencia en verificación y validación (V&V).
• Conocimientos en gestión térmica de equipos.
• Experiencia en herramientas de trazabilidad de requisitos.

Valoramos todas las candidaturas y ofrecemos formación presencial, online y certificaciones. Aunque no cumplas el 100 % de los requisitos, ¡queremos conocerte!

¿Qué te gustará de trabajar aquí?

• Proyecto técnico con impacto real en el sector defensa.
• Trabajo práctico combinando diseño hardware, integración y validación.
• Entorno multidisciplinar con interacción con equipos de electrónica, mecánica y software.
• Desarrollo profesional en proyectos complejos.
• Wellbeing HUB y plan de compensación flexible.

¿Por qué Capgemini? Nuestros compromisos y prioridades

Nuestro Plan de Igualdad y Código Ético garantizan procesos inclusivos y libres de discriminación, potenciando el talento en un entorno multicultural y accesible para personas con discapacidad (valoramos positivamente disponer de certificado de discapacidad).

Capgemini es un socio global en transformación empresarial y tecnológica, que ayuda a las organizaciones a acelerar su doble transición hacia un mundo digital y sostenible, generando un impacto tangible tanto en las empresas como en la sociedad. Somos un grupo responsable y diverso, con 340.000 profesionales en más de 50 países. Con una sólida trayectoria de más de 55 años, nuestros clientes confían en Capgemini para aprovechar el valor de la tecnología y cubrir todas sus necesidades de negocio. Ofrecemos soluciones completas que abarcan desde la estrategia y el diseño hasta la ingeniería, impulsadas por nuestras capacidades líderes en inteligencia artificial, IA generativa, cloud y datos, junto con un profundo conocimiento del sector y una sólida red de partners.

MAKE IT REAL. ¡Únete al equipo!

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada13 jul.

. Python Agile Azure Scrum Docker Cloud Coumputing Kubernetes Microservices Hadoop AWS DevOps Spark Big Data Power BI Tableau

Are you passionate about technology and love to be at the forefront of innovation?

At GMV we are looking for a Technical Lead to drive Technology Transformation in the field of Intelligent Transportation Systems (ITS), integrating advanced Data Analytics capabilities.

If you have a creative mind, exceptional skills in software architecture and data management, and you are ready to take on new challenges, we want to meet you!

We´ll get to the point; we'll tell you what's not on the web. If you want to know more about us go to GMV website

WHAT CHALLENGE WILL YOU BE TAKING ON?

The main purpose of this role is to establish the Technological and Strategic Architecture to evolve the existing platform towards a scalable and efficient environment, aligned with current data trends, contributing to optimise decision making in public transport.

Your main functions will be:

• Define and execute the strategic data roadmap, aligning the architecture with business objectives.
• Lead a team of data and analytics engineers, fostering their professional development.
• Act as Scrum Master, prioritising short-term deliverables without losing sight of the strategic vision.
• Design and implement modern architectures based on microservices and containers, using technologies such as Docker and Kubernetes.
• Promote and oversee best practices in data governance, security, modelling and technical documentation.
• Oversee the development lifecycle, from design to implementation, with a focus on quality and efficiency.
  
  

WHAT DO WE NEED IN OUR TEAM?

For this position, we are seeking experts with solid experience in:

• Architectural design and construction of complex systems.
• Technology platforms towards advanced capabilities, including data integration.
• Expertise in data integration: o Experience with scalable data architectures and modern integration tools (Apache Airflow, Prefect, Luigi).
• Object-oriented programming.
• Data analysis and visualisation tools (Tableau, Power BI).
• Python ecosystem (Pandas, NumPy, ML frameworks).
• Design and implementation of cloud-oriented architectures (AWS, Azure, GCP).
• Knowledge of Big Data frameworks (Apache Spark, Hadoop, HDFS) and storage (S3, SQL/NoSQL databases).
• Containers and deployment: Docker, Kubernetes.
  
  

Knowledge in DevOps and CI/CD practices for the deployment and maintenance of platforms, previous experience in projects related to public transport or ITS, familiarity with agile methodologies and relevant technical certifications in cloud (AWS Certified Solutions Architect, Google Cloud Professional Data Engineer) will be an asset.

WHAT DO WE OFFER?

🕑 Hybrid working model and 8 weeks per year of teleworking outside your usual geographical area.

💻 Flexible start and finish times, and intensive working hours Fridays and in summer.

🚀 Personalized career plan development, training and language learning support.

🌍 National and international mobility. Do you come from another country? We can offer you a relocation package.

💰 Competitive compensation with ongoing reviews, flexible compensation and discount on brands.

💪Wellbeing program: Health, dental and accident insurance; free fruit and coffee, physical, mental and financialhealth training, and much more!

⚠️ In our recruitment processes you will always have telephone and personal contact, face-to-face or online, with our talent acquisition team. In addition, bank transfers and bank cards will never be requested. If you are contacted through any other process, please write to our team at [email protected]

❤️We promote equal opportunities in recruitment, and we are committed to inclusion and diversity.

WHAT ARE YOU WAITING FOR? JOIN US

If you have any questions please do not hesitate to contact Alejandra Estévez Melgarejo, in charge of this vacancy.

Alejandra Estévez Melgarejo

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada13 jul.

. Python Docker Cloud Coumputing Kubernetes Git Machine Learning

About Us

We are the independent expert in assurance and risk management. Driven by our purpose, to safeguard life, property, and the environment, we empower our customers and their stakeholders with facts and reliable insights so that critical decisions can be made with confidence.

As a trusted voice for many of the world’s most successful organizations, we use our knowledge to advance safety and performance, set industry benchmarks, and inspire and invent solutions to tackle global transformations.

About Energy Systems

We help customers navigate the complex transition to a decarbonized and more sustainable energy future. We do this by assuring that energy systems work safely and effectively, using solutions that are increasingly digital. We also help industries and governments to navigate the many complex, interrelated transitions taking place globally and regionally, in the energy industry.

About The Role

GreenPowerMonitor, a DNV company, is at the heart of the global energy transformation. We use data-driven digital solutions to optimise the performance of renewable energy installations around the world. Our work contributes to a more diverse, more sustainable global energy mix.

We are looking for an ML Engineer to help create, productize and evolve generative AI solutions on Horizon, GreenPowerMonitor’s cloud platform that transforms renewable energy operational data into actionable insights for monitoring, optimization, and decision-making.

This is a hands-on, impact-driven role where you will build LLM-powered agents and embed them directly into a production system used by renewable energy professionals worldwide. You will work closely with product managers and software engineers to design, deploy, and maintain production-grade AI systems, starting with a user-oriented AI assistant embedded in Horizon.

Over the course of the year, your work will support the strategic goal of enriching Horizon with LLM models, starting with a predictive maintenance module and evolving the platform to become more autonomous and intelligent for users, turning operational data into actionable insights.

What You’ll Do

• Connect to diverse data sources within the Horizon platform, including operational data, structured metadata, and technical documentation, and design Retrieval-Augmented Generation (RAG) pipelines for scalable AI systems.
• Extract, transform, and structure data for optimal use with LLMs, manage embeddings, indexing, and context retrieval, and ensure AI models are grounded in accurate, real-world information.
• Design, deploy, fine-tune, and continuously improve production-grade LLM and multimodal agents, optimizing prompts, mitigating hallucinations, and evaluating performance to deliver reliable, context-aware outputs.
• Build and maintain client-facing AI assistants and chatbots, explaining system behavior, capabilities, and limitations to both technical and non-technical stakeholders, and integrating AI features seamlessly into Horizon workflows.
• Stay up to date with advances in generative AI, agent-based systems, and instruction-tuned models, experimenting with frameworks like LangChain and collaborating on experiments using large instruction-tuned models.
• Collaborate closely with product and software teams to take AI solutions from concept to production, ensuring features are robust, scalable, and directly support Horizon users in monitoring, optimizing, and managing renewable energy assets.
  
  

What makes this role exciting: you’ll take cutting-edge LLM and agent-based systems out of the lab and into production, building AI that directly supports the operation and optimization of renewable energy assets at global scale.

What we offer

Our benefits package is specifically designed to support your physical, financial and social well-being:

• Great atmosphere of working together with professionals and some of the most engaged and knowledgeable people in the industry,
• Receive guidance from colleagues through coaching, mentoring and participating in international networks,
• Advance your professional skills and technical expertise, through individual competence development plans and tailored training,
• Be part of a world growing and renowned organization with origins dating back to 1864.
  
  

Other Than You Can Expect

• Medical Scheme,
• Commuting Allowance,
• Life Insurance,
• Pension Plan,
• Kindergarten Allowance,
• 40 hours per week with a flexible schedule. Friday
• Home working allowance (up to 2 days per week),
• 23 days of annual leave,
• Employee Referral scheme.
  
  

DNV is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion. Diversity is fundamental to our culture and we invite you to be part of this diversity.

Requirements

About you

• Master’s degree or equivalent experience in Mathematics, Data Science, Computer Science, Machine Learning, or a related field,
• Hands-on experience with Large Language Models (LLMs) or generative AI systems,
• Experience with RAG pipelines, embeddings, and prompt optimization,
• Strong understanding of Transformer architectures and fine-tuning,
• Proficiency in Python,
• Familiarity with CI/CD, Docker, Kubernetes (K8s), and Git is a plus,
• Fluency in written and spoken English.
  
  

You are curious, adaptable, and proactive, thriving in collaborative, fast-moving environments. You take ownership of projects, communicate complex AI concepts clearly to technical and non-technical stakeholders, and enjoy solving challenging real-world problems.

As part of the interview process, we ask you to submit a short report or demo of an AI agent you’ve built. This is your chance to showcase your hands-on skills and highlight your creativity.

Security and compliance with statutory requirements in the countries in which we operate is essential for DNV. Background checks will be conducted on all final candidates as part of the offer process, in accordance with applicable country-specific laws and practices.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada13 jul.

Teletrabajo . Python R Machine Learning Power BI Tableau

Job Title: Data Scientist

Job Type: Contractor

Location: Remote

Job Summary

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities

• Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis.
• Develop, validate, and implement statistical models to extract actionable insights from complex data.
• Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement.
• Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders.
• Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery.
• Continuously improve analytical methodologies and automation processes to enhance data workflows.
• Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations.
  
  

Required Skills And Qualifications

• Expertise in statistics, mathematics, and data analysis techniques.
• Proven experience in collecting, handling, and cleaning large, complex data sets.
• Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling.
• Strong data modeling skills with experience in building and validating predictive models.
• Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries.
• Meticulous attention to detail and commitment to data quality at every stage.
• Excellent written and verbal communication skills, with an emphasis on clarity and precision.
  
  

Preferred Qualifications

• Experience working in a remote, cross-functional, or customer-focused team environment.
• Background in developing and deploying machine learning solutions in production settings.

• Nivel de experiencia---
• Tipo de contratoConsultor
• Publicada13 jul.

. Python Maven Linux Docker TypeScript PowerShell Bash DevOps

 

 

We are seeking a Developer Experience Engineer to join our centralized DevOps Tools Team. As a Developer Experience Engineer, you define and configure development environments that software engineers rely on every day. You focus on creating reliable, secure, and consistent developer profiles including IDEs to command‑line tooling and possible CI/CD integration.

Working closely with platform, security, and product engineering teams, you continuously improve the developer experience by reducing friction, increasing automation, and enabling engineers to focus on building high‑quality software.

 

What You Will Do

• Design, develop, and maintain developer client tools such as CLIs, IDE configurations and local development environments.
• Standardize and automate developer onboarding and local setup across Linux and Windows.
• Integrate client tools with source control, CI/CD pipelines, artifact repositories and package managers.
• Partner with security and compliance teams to ensure secure, policy‑compliant developer environments.
• Act as a technical point of contact for engineering teams, gathering feedback and translating it into tooling and end-to-end developer workflow improvements.
• Document tools, workflows, and best practices to enable self‑service and adoption at scale.

What You Bring

• A strong background in software engineering, DevOps, Docker, platform engineering or developer productivity.
• Solid programming skills in at least one language such as Python, Bash, Powershell or TypeScript.
• Experience working with CI/CD systems and integrating local tooling with build and release pipelines.
• Hands‑on experience with build tools and dependency management, Package managers (e.g. npm, pip, Maven), Linux and Windows environments (preferred).
• A strong focus on developer experience, usability and automation.
• Clear communication skills and the ability to document and explain technical solutions.

,

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada13 jul.

. Python MATLAB

07/07/2026 | Oferta de empleo

Convocatoria: https://secretaria.uvigo.gal/uv/web/convocatoria/public/show/1892 Número de prazas: 1 Tipo de contrato: Contrato de duración determinada por circunstancias da produción (máximo 6 meses) . Xornada: Tempo parcial (18,75 horas/semana) . Data probable de inicio: 16/09/2026. Duración do contrato: 2 meses e medio Salario bruto mensual 1.275,00 € (incluído o prorrateo das pagas extraordinarias). Lugar de traballo: Escola de Enxeñería Industrial da Universidade de Vigo./td>

Categoría laboral: Persoal investigador non doutor.

Contratos para a realización de proxectos e para a execución de plans (art 32bis Lei da Ciencia). Duración indefinida

Traballo a Realizar

A persoa contratada realizará tarefas relacionadas coa modelización e análise de sistemas dinámicos multicorpo con sólidos flexibles, a implementación de modelos numéricos e a aplicación de técnicas de redución de orde para mellorar a eficiencia computacional das simulacións.

Requisitos

• Grao en enxeñaría (rama industrial) .
  
  

Méritos a valorar

• Formación académica (20 puntos).
• Nivel de inglés acreditado mediante certificado oficial (20 puntos).
• Experiencia en modelado e simulación mediante técnicas multicuerpo, análise dinámico de mecanismos ou simulación de sistemas mecánicos. Valorarase a afinidade da experiencia profesional, traballos fin de grao ou mestrado, prácticas e formación específica (25 puntos).
• Experiencia demostrable en programación: C, Matlab, Python, LabVIEW (20 puntos).
• Entrevista persoal. A entrevista realizarase unicamente a/aos 3 candidatos/as que na suma dos méritos acaden un mínimo de 50 puntos (15 puntos).
  
  

Comité avaliador

• Presidente: Enrique Casarejos Ruiz.
• Secretario: Abraham Segade Robleda .
• Vogal: Sofía Suárez García.
  
  

Documentación

• Solicitude
• Currículum vitae
• Declaración responsable (anexo I da convocatoria) de cumprimento dos requisitos establecidos nas bases da presente convocatoria e da veracidade dos datos achegados no currículum vítae.
  
  

A presentación de solicitudes realizarase unicamente por medios electrónicos a través da sede electrónica da Universidade de Vigo

Data límite de recepción de candidaturas: A data límite para o envío das solicitudes é o 21 de xullo de 2026.

• Nivel de experiencia---
• Tipo de contratoConsultor
• Publicada13 jul.

C# Python C++ C AutoCAD Diseño asistido por ordenador (CAD) Ingeniería de sonido Sonido Electrónica de consumo Modelado Acústico Control de ruido Procesamiento de audio

Busco ingeniero/a acústico o empresa especializada en diseño de salas de música.

Estoy preparando un proyecto para acondicionar desde cero una habitación de aproximadamente 16 m² destinada a ensayo, y pequeño estudio personal.

El espacio se encuentra actualmente en obra (estructura vista, sin instalaciones ni acabados), por lo que busco un profesional que pueda diseñar el proyecto completo desde el inicio:

• aislamiento acústico (suelo, paredes y techo)

• acondicionamiento acústico interior

• ventilación silenciosa

• integración con climatización e instalaciones

Busco a alguien con experiencia real en estudios de grabación, salas de ensayo o espacios de audio, no únicamente en insonorización general.

Si conoces a algún profesional o empresa de confianza (preferiblemente en Canarias, aunque también valoro colaboraciones a distancia para el diseño), agradeceré mucho cualquier recomendación.