Ofertes d'ocupació per a MATLAB

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada14 de juny

Python C++ MATLAB

Research Scientists in Artificial Intelligence applied to cryo electron tomography (Predoc/Postdoc)Join the Instituto Biofisika (IBF), a collaborative research centre of the University of the Basque Country (UPV/EHU) and the Spanish National Research Council (CSIC), located at the Leioa Campus.

We focus on biophysics research and seek research scientists at predoctoral and postdoctoral levels to join the Laboratory for Numerical Methods of Cryo Electron Tomography, led by Dr. Daniel Castaño Díez.

The group develops computational methods for analyzing 3D cellular images, primarily through Dynamo software (>), funded by the Human Frontiers Science Program.

The project aims to extend cryoET processing tools with deep learning techniques for identifying small, flexible proteins in their natural environment.

Responsibilities include developing new methodologies, maintaining software, and analyzing cryoET datasets from collaborators.

Candidates should hold degrees in Mathematics, Computer Science, Engineering, or related fields, with a strong background in Matlab and an interest in Life Sciences.

Essential Qualifications Include

Experience in Deep Learning or AI methodsBackground in numerical mathematics, optimization, and heuristic methodsProficiency in MATLAB, Python, C++, and/or CUDADesirable qualifications include experience in Electron and Light Microscopy image processing and Molecular Dynamics simulations.

Start date is flexible, aiming for Fall 2025, with funding secured until August 2029.

Salaries range from €27,000-€42,000 for BSc/MSc and €38,000-€53,000 for PhD candidates, aligned with experience.

Applications should include a CV, motivation letter, and references, sent to ****** by August 15, 2025.

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• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada14 de juny

Java Python TSQL Azure C++ Cloud Coumputing AWS R MATLAB Machine Learning

Formació i experiència

• Titulació superior en Bioinformàtica, Bioenginyeria, Enginyeria Informàtica, Enginyeria de Telecomunicacions, Física, Matemàtiques o equivalent.
• Màster o formació avançada en alguna de les disciplines òmiques (genòmica, transcriptòmica, metabolòmica, etc.) o en data science/machine learning.
• Més de 5 anys d’experiència professional com a bioinformàtic/a, amb coneixements amplis en tecnologies de seqüenciació (Illumina MiSeq, PacBio) i en la integració de dades multiòmiques.
• Experiència prèvia com a data scientist en el desenvolupament, validació i implementació d’algorismes de machine learning en l’àmbit biomèdic.
• Experiència en lideratge i gestió d’equips multidisciplinaris.
• Experiència en la tutorització d’estudiants/mentoring o en rols similars de supervisió acadèmica/professional (valorable PhD, encara que no imprescindible si hi ha experiència equivalent).
• Estades internacionals en formació o activitat professional (valorat positivament).
  
  

Coneixements tècnics

• Domini de llenguatges de programació com Python (imprescindible), i valorats R, Matlab, C++, Java.
• Coneixements de SQL per a la gestió de bases de dades.
• Experiència o coneixements en sistemes cloud (AWS, Azure).
• Coneixements d’estàndards de dades clíniques (OMOP, FHIR) i experiència en l’estructuració de dades hospitalàries (valorat positivament).
• Coneixements d’estadística avançada i anàlisi de dades (models de supervivència, models predictius, etc.).
  
  

Qué Oferim

• Incorporació immediata
• Jornada completa de dilluns a divendres (37,5h)
• Retribució d’acord amb el perfil de la persona seleccionada
• Beneficis socials: pla de compensació flexible, dies adicionals de vacances, descomptes en els menjadors dels centres de referència.

• Nivell d'experiència---
• Tipus de contracteTemporal
• Publicada14 de juny

Office MATLAB

Sobre Nosotros

HORSE es un líder global en la industria automotriz, dedicado a ser pionero en soluciones de energía de bajas emisiones y combustibles alternativos. Con presencia en siete países, nuestra misión es impulsar la transición hacia un futuro sostenible desarrollando sistemas de propulsión de última generación, híbridos, sintéticos y alimentados por hidrógeno. Creemos en un enfoque pragmático para la descarbonización, reconociendo que no existe una solución única para la movilidad sostenible.

En el corazón de nuestro éxito están nuestras personas. Fomentamos una cultura de innovación, colaboración e inclusión, asegurando que cada miembro del equipo se sienta valorado y empoderado. Nuestra presencia global no solo impulsa el avance tecnológico, sino que también genera oportunidades de crecimiento personal y profesional.

Únete a nosotros en HORSE y forma parte de un equipo que está transformando el futuro de la movilidad, mientras construyes una carrera que importa.

Lo que harás

Tratatamiento de registros y planes de validación asociados a la prestación Safety (control de la consigna del par motor).

Compaginará su soporte como acompañante en la realización de los ensayos, con el análisis posterior de los datos registrados.

Será apreciado en el candidato los conocimientos del funcionamiento de motores de combustión e híbridos.

Lo que buscamos

Grado en Ingeniería Industrial, Mecánica, Electrónica, Eléctrica, Informática, Aeronáutica, Organización Industrial, Telecomunicaciones.

Idiomas: Inglés.

Aplicaciones informáticas: Paquete Office avanzado, Matlab, Phyton.

Lo que ofrecemos

Prácticas remuneradas (600 €/mes para estudiantes, 800 €/mes para titulados).

Proyecto formativo de 6 meses, 40 horas semanales, en horario continuado de 7.00 h a 15.00 h. (con posibilidad de flexibilizar a 30 o 35 horas).

Plan de acogida y formación por parte de los mejores profesionales del sector de la automoción.

Buen ambiente laboral, dentro de una empresa innovadora, diversa y multicultural.

Posibilidad de transporte gratuito en autocar de empresa.

• Nivell d'experiència---
• Tipus de contracteTemporal
• Publicada10 de juny

Office MATLAB

Sobre Nosotros

HORSE es un líder global en la industria automotriz, dedicado a ser pionero en soluciones de energía de bajas emisiones y combustibles alternativos. Con presencia en siete países, nuestra misión es impulsar la transición hacia un futuro sostenible desarrollando sistemas de propulsión de última generación, híbridos, sintéticos y alimentados por hidrógeno. Creemos en un enfoque pragmático para la descarbonización, reconociendo que no existe una solución única para la movilidad sostenible.

En el corazón de nuestro éxito están nuestras personas. Fomentamos una cultura de innovación, colaboración e inclusión, asegurando que cada miembro del equipo se sienta valorado y empoderado. Nuestra presencia global no solo impulsa el avance tecnológico, sino que también genera oportunidades de crecimiento personal y profesional.

Únete a nosotros en HORSE y forma parte de un equipo que está transformando el futuro de la movilidad, mientras construyes una carrera que importa.

Lo que harás

Tratatamiento de registros y planes de validación asociados a la prestación Safety (control de la consigna del par motor).

Compaginará su soporte como acompañante en la realización de los ensayos, con el análisis posterior de los datos registrados.

Será apreciado en el candidato los conocimientos del funcionamiento de motores de combustión e híbridos.

Lo que buscamos

Grado en Ingeniería Industrial, Mecánica, Electrónica, Eléctrica, Informática, Aeronáutica, Organización Industrial, Telecomunicaciones.

Idiomas: Inglés.

Aplicaciones informáticas: Paquete Office avanzado, Matlab, Phyton.

Lo que ofrecemos

Prácticas remuneradas (600 €/mes para estudiantes, 800 €/mes para titulados).

Proyecto formativo de 6 meses, 40 horas semanales, en horario continuado de 7.00 h a 15.00 h. (con posibilidad de flexibilizar a 30 o 35 horas).

Plan de acogida y formación por parte de los mejores profesionales del sector de la automoción.

Buen ambiente laboral, dentro de una empresa innovadora, diversa y multicultural.

Posibilidad de transporte gratuito en autocar de empresa.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada5 de juny

Python MATLAB

Job Description:

In the frame of the new programmes, Electromagnetic testing capabilities will be expanded to cope with the increasing testing and measurement requirements. New measurements techniques and test means are intended to be developed and operated to support all the phases of the life cycle of our products. It will cover many the aspects of the Electromagnetic discipline including Electromagnetic Hardining and Compatibility tests, Materials Characterization,...

The selected candidate will be part of a dynamic and multidisciplinar team and will work on challenging new projects. He/she will contribute to the growth of the Electromagnetic testing capabilities and will provide vauable data for the design of the products as well as for the verification process.

Considering the transversal nature of the discipline, the jobholder will maintain close cooperation and with many different areas of the company to understand the tenchnical challenges and try to find trade-offs when needed.

Required competences and skills:

• Strong background in Electromagnetism theory.
• Practical experience on EMC tests, RF measurements and relevant instrumentation.
• Electromagnetic properties of materials.
• Programming of tools/scripts (at least Python and MATLAB)
• Knowledge on signal processing
• Post-processing tools and data processing algorithm development
• Electromagnetic simulation and modelling is a plus.
• Fundamentals on controlling RF Instrumentation.
• Automation and control electronics.
• Demonstrated experience working in International Environments
• Good Technical skills, familiar with R/T and R&D projects.
• Ability to work autonomously as well as being active part of a team.
• Ability to overcome difficulties in the development of the projects.
• Fast learner.
• Proactive and self-motivated.
  
  

Main Functions:

• Definition of measurement and testing requirements
• Design and development of testing means
• Test and measurement execution
• Post-processing and analysis of results
• Troubleshooting and implementation of technical solutions
• Definition and implementation of measurement processes
  
  

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Company:

Airbus Defence and Space SAU

Employment Type:

Permanent

Experience Level:

Professional

Job Family:

Testing

By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.

Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com .

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

#YESPOST

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada5 de juny

Python MATLAB

Job Description:

A vacancy for a junior Aerodynamics Engineer has arisen within Airbus Defence & Space in Getafe .

The successful applicant will join the team responsible for the aerodynamic development and optimisation of Airbus Defence & Space aircraft, having the opportunity to participate in diverse activities as external shape aerodynamic design, generation of complex and comprehensive aerodynamic models and data on performance, handling qualities and loads in steady and unsteady mode, safe separation analysis and participate in experimental wind tunnel test campaigns; all of them carried out in the multidisciplinary environment of Flight Physics and in collaboration with specialists of the other international partners involved.

Tasks & Accountabilities

Your main tasks and responsibilities will include:

• Design air vehicle external shapes and provide comprehensive aerodynamic models and data on performance, handling qualities and loads in steady and unsteady mode.
• Ensure that optimised aerodynamic solutions and data are delivered to customers on TCQ (time, cost, quality).
• Answer to aerodynamics program specification by developing & maintaining technologies, methods and tools and skills, knowledge and competencies relative to the Aerodynamics disciplines and all support activities or expertise required to meet the Programmes overall design and major components or systems integration needs throughout their life cycles.
• Contribute to the achievement of all vehicle projects aerodynamic and flight performance requirements within prescribed time, cost and quality objectives.
• Develop expertise in the appropriate use of numerical and experimental aerodynamic prediction tools.
• Acquire and develop aerodynamic technologies in a manner consistent with the Company Strategy.
• Link with external research community in the field of Aerodynamics and multi-disciplinary air vehicle design and optimisation.
• Link with all disciplines relevant for physics of flight, such as structures, loads, stability & control, mass properties, etc.
  
  

Required Skills

We are looking for candidates with the following skills and experience:

• Educated to Master’s degree level in Aerospace Engineering (PhD level in Aerospace Engineering will be valuable).
• Experience in meshing and numerical aerodynamic prediction tools will be valuable.
• Experience in generation aerodynamic databases from experimental and CFD data will be valuable.
• Experience in CAD tools will be valuable.
• Knowledge and experience in wind tunnel test will be valuable.
• Knowledge and experience in safe separation will be valuable.
• Knowledge and experience in Python and Matlab will be valuable.
• English advanced
• German and/or French will be valuable
  
  

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

#MYCYM

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Company:

Airbus Defence and Space SAU

Employment Type:

Permanent

Experience Level:

Entry Level

Job Family:

Flight & Space Physics

By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.

Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com .

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

#YESPOST

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada5 de juny

Python MATLAB Machine Learning

Machine Vision & Machine Learning TraineeAt Sonae Arauco, people and wood are what truly inspire us.

We are one of the world's main producers of renewable wood-based solutions for furniture, interior design, and the construction sectors.

We are passionate about wood because of its value, and about our people because they drive our success.

It takes extraordinary people to work with this outstanding raw material.Being part of Sonae Arauco means joining an international, future-oriented company where sustainability is part of our business strategy and diversity is valued.

We operate in nine countries with around 2,600 employees of 37 nationalities.Our goal is to improve people's lives through solutions inspired by wood.

Join us in taking wood further.Position: Machine Vision/ML TraineeProfileGraduates or students in their final year of Engineering (Industrial, Electronic, Automation, Computer Science, Telecommunications) or Physics, Mathematics.The trainee will collaborate with our Competence Center to develop machine vision and machine learning applications across various plants in the group.Required language skills: Medium to high level of English.Hard SkillsKnowledge of programming languages such as Python and/or C++Knowledge of Machine Vision, Deep Learning, and Machine LearningExperience with Image Acquisition, Matlab, OpenCVAttributes: Quick learner, problem solver, proactive.Opportunity to prepare the final thesis (TFG or TFM) based on the project developed during the training period.Sonae Arauco, taking people further.For more information, contact the HR Department at ******.

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• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada4 de juny

Python C++ MATLAB Machine Learning

Machine Vision & Machine Learning Trainee At Sonae Arauco, people and wood are what truly inspire us.

We are one of the world's main producers of renewable wood-based solutions for furniture, interior design, and the construction sectors.

We are passionate about wood because of its value, and about our people because they drive our success.

It takes extraordinary people to work with this outstanding raw material.

Being part of Sonae Arauco means joining an international, future-oriented company where sustainability is part of our business strategy and diversity is valued.

We operate in nine countries with around 2,600 employees of 37 nationalities.

Our goal is to improve people's lives through solutions inspired by wood.

Join us in taking wood further.

Position: Machine Vision/ML Trainee Profile Graduates or students in their final year of Engineering (Industrial, Electronic, Automation, Computer Science, Telecommunications) or Physics, Mathematics.

The trainee will collaborate with our Competence Center to develop machine vision and machine learning applications across various plants in the group.

Required language skills: Medium to high level of English.

Hard Skills * Knowledge of programming languages such as Python and/or C++ * Knowledge of Machine Vision, Deep Learning, and Machine Learning * Experience with Image Acquisition, Matlab, OpenCV Attributes: Quick learner, problem solver, proactive.

Opportunity to prepare the final thesis (TFG or TFM) based on the project developed during the training period.

Sonae Arauco, taking people further.

For more information, contact the HR Department at ******.

#J-18808-Ljbffr

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada1 de juny

Teletreball R MATLAB

A Bachelor's degree and Master's degree are required, preferably in Mechanical Engineering, Industrial Engineering, or related fields, with a specialization in Fluid Dynamics or a related area.

Independent and proactive working style.

Experience with sensor setup, calibration and real-time digital signal recording.

Strong skills in practical lab testing and data analysis.

Hands-on experience in experimental setups and system assembly.

Knowledge and experience on the use of CFD software (ANSYS, OpenFoam, etc.).

Experience in programming and performing advanced AI statistical modelling with Matlab, Phyton, R, etc.

Preferred, but not required, understanding of hemodynamics or non-Newtonian fluids.

This position offers a unique opportunity to work at the intersection of biomedical engineering, computational modelling, and experimental research, contributing to life-saving neonatal technologies. The candidate will need to comply with pre-requisites to apply for the doctoral thesis in the fields covered by the Strategic Technologies for Europe Platform (STEP).

Important

Candidates must meet the following requirements to apply for the STEP technologies (FI-STEP) grant:

• Have the nationality of a member state of the European Union.
• Have completed a bachelor’s degree or an equivalent qualification and provide proof of a minimum average grade in their academic record equal to or higher than 6.50 (on a scale from 0 to 10). This grade must be calculated according to the criteria specified in Royal Decree 1125/2003, of September 5, which establishes the European credit system and the grading system for official university degrees valid throughout the national territory.
  
  

If the studies were completed abroad, the average grade must be calculated in accordance with the current resolutions of the Ministry of Science, Innovation, and Universities regarding grade equivalencies.

(Equivalency information).

For the processing, the academic records of the bachelor's and master's degrees (with the year of completion) and the average grade will be mandatory.

• Have completed studies leading to a PhD in accordance with Article 21 of Law 14/2011, of June 1, on Science, Technology, and Innovation, between January 1, 2022, and the starting date of the contract covered by this grant.
  
  

What we offer

• Permanent contract of 37.5 hours per week.
• Work modality: On-site with the option for remote work one day per week.
  
  

Contrato está cofinanciado por el ISCIII, programa de Proyectos de Investigación de Medicina Personalizada de Precisión. Programa financiado con los fondos NextGeneration para la ejecución del plan de Recuperación, Transformación y Resiliencia (PRTR)” con nº de expediente: PMP22/00008