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0btd grupo
Madrid, ES
Ingeniero Oficina Técnica Agua
btd grupo · Madrid, ES
MATLAB
Desde el origen nos focalizamos en clientes institucionales de África y Latinoamérica. A partir del conocimiento del mercado, identificamos, desarrollamos, promocionamos y financiamos proyectos de alto impacto social.
Después de 5 años de experiencia ampliamos nuestra actividad en los campos de ingeniería, construcción y equipamiento, realizando proyectos bajo el modelo EPC en el sector de la educación y en el año 2011 en el sector del agua.
En el año 2019 iniciamos nuestra actividad de concesiones y servicios en los sectores de agua y educación.
Tareas
- Diseñar sistemas y procesos de tratamiento de agua, incluyendo equipos y tecnologías adecuadas
- Realizar estudios de viabilidad y análisis técnicos para nuevos proyectos
- Elaborar planes y especificaciones técnicas para la construcción y mejora de plantas de tratamiento de agua
- Implementar mejoras en los procesos para aumentar la eficiencia
- Resolver problemas operativos y técnicos que puedan surgir en el funcionamiento de la planta.
- Planificar y coordinar proyectos de mejora y expansión de plantas de tratamiento de agua
- Supervisar la construcción e instalación de nuevos equipos y sistemas
- Asegurar que las operaciones de la planta cumplan con todas las regulaciones y normativas
- Mantenerse actualizado sobre cambios en las leyes y regulaciones relacionadas con el tratamiento de agua
- Preparar y presentar informes regulatorios a las autoridades competentes
- Soporte a compras a evaluar y seleccionar proveedores y contratistas para proyectos y servicios específicos
- Soporte a compras con la aprobación técnica de las ofertas de los proveedores.
Requisitos
- Título en Ingeniería Química, Mecánica o afines;
- Experiencia previa en plantas de tratamiento de aguas
- Mínimo 3 años de experiencia en el diseño, operación y mantenimiento de plantas de tratamiento de agua.
- Inglés. Valorable Francés.
- Disponibilidad para viajar
- Manejo de software de diseño y simulación (AutoCAD, MATLAB, etc).
Beneficios
- Contrato Indefinido
- Proyecto estable.
- Posibilidad de crecimiento profesional dentro de la empresa
- Participar en proyectos interesantes a nivel internacional
"En BTD, valoramos la diversidad y la singularidad de cada persona. Nos esforzamos por crear un entorno de trabajo inclusivo y respetuoso, donde todas las personas puedan desarrollarse plenamente, independientemente de su género, edad, discapacidad, orientación sexual, identidad o expresión de género, religión, origen étnico, estado civil o cualquier otra circunstancia personal o social. Creemos firmemente que la diversidad nos enriquece y fortalece como equipo, y trabajamos cada día para garantizar igualdad de oportunidades en todos nuestros procesos. ¡Súmate a nuestro equipo y contribuye a construir un futuro más inclusivo!"
Research Scientists In Artificial Intelligence Applied To Cryo Electron Tomography (Predoc/Postdoc)
NuevaCSIC
Valderredible, ES
Research Scientists In Artificial Intelligence Applied To Cryo Electron Tomography (Predoc/Postdoc)
CSIC · Valderredible, ES
Python C++ MATLAB
- The Instituto Biofisika (IBF; ) is ajoint research centre of the University of the Basque Country (UPV/EHU) and the Spanish National Research Council (CSIC).
Successful candidates will join the Laboratory for Numerical Methods of Cryo Electron Tomography (cryoET), led by Dr. Daniel Castaño Díez.
The group is dedicated to advancing computational methodologies for the automated analysis and interpretation of 3D cellular imagery, primarily through its in-house software platform Dynamo ( research project "RGP0017/2020 - Time-resolving the mechanism of exocytosis in situ" funded by the Human Frontiers Science Program has revealed deep insights into the mechanics of exocitosys in living cells through the development of new methods of cryo electron tomography processing.
We aim now at extending this tool through the integration of novel deep learning techniques for the identification and characterization of small, flexible proteins within their natural surroundings.
The successful applicant will contribute to the development of these new methodologies, as well as to the ongoing development and maintenance of the software.
Additionally, they will be involved in the analysis of cryoET datasets provided by external collaborators.Ideal candidates for these positions must hold an official degree in Mathematics, Computer Science, Engineering or similar, and has a strong background in Matlab.
An interest in carrying research in Life Sciences is assumed.Necessary qualifications are:Experience in Deep Learning and/or other methods from Artificial Intelligence.Solid background in numerical mathematics, including optimization and heuristic optimization methods.Proficiency in software prototyping and production.
Good command of MATLAB, Python, C++ and/or CUDA is expected.Further desirable qualifications of the successful candidate include:Experience in Image Processing for Electron Microscopy.Experience in Image Processing for Light Microscopy.Experience in Molecular Dynamics Simulations.Positions have a flexible incorporation date aiming at an effective start date in Fall 2025 and with additional third-party funding secured till August 2029.
Salaries will be aligned with the candidate's skills, qualifications, and experience, within the official salary ranges established by the Spanish Research Council (CSIC): €27,000–€42,000 gross per year for BSc/MSc holders, and €38,000–€53,000 for PhD holders.
Expressions of interest in a single pdf should be directed to ****** including:Curriculum Vitae with academic record.A motivation letter
Research Scientists In Artificial Intelligence Applied To Cryo Electron Tomography (Predoc/Postdoc)
NuevaCSIC
Cartagena, ES
Research Scientists In Artificial Intelligence Applied To Cryo Electron Tomography (Predoc/Postdoc)
CSIC · Cartagena, ES
Python C++ MATLAB
- The Instituto Biofisika (IBF; ) is ajoint research centre of the University of the Basque Country (UPV/EHU) and the Spanish National Research Council (CSIC).
Successful candidates will join the Laboratory for Numerical Methods of Cryo Electron Tomography (cryoET), led by Dr. Daniel Castaño Díez.
The group is dedicated to advancing computational methodologies for the automated analysis and interpretation of 3D cellular imagery, primarily through its in-house software platform Dynamo ( research project "RGP0017/2020 - Time-resolving the mechanism of exocytosis in situ" funded by the Human Frontiers Science Program has revealed deep insights into the mechanics of exocitosys in living cells through the development of new methods of cryo electron tomography processing.
We aim now at extending this tool through the integration of novel deep learning techniques for the identification and characterization of small, flexible proteins within their natural surroundings.
The successful applicant will contribute to the development of these new methodologies, as well as to the ongoing development and maintenance of the software.
Additionally, they will be involved in the analysis of cryoET datasets provided by external collaborators.Ideal candidates for these positions must hold an official degree in Mathematics, Computer Science, Engineering or similar, and has a strong background in Matlab.
An interest in carrying research in Life Sciences is assumed.Necessary qualifications are:Experience in Deep Learning and/or other methods from Artificial Intelligence.Solid background in numerical mathematics, including optimization and heuristic optimization methods.Proficiency in software prototyping and production.
Good command of MATLAB, Python, C++ and/or CUDA is expected.Further desirable qualifications of the successful candidate include:Experience in Image Processing for Electron Microscopy.Experience in Image Processing for Light Microscopy.Experience in Molecular Dynamics Simulations.Positions have a flexible incorporation date aiming at an effective start date in Fall 2025 and with additional third-party funding secured till August 2029.
Salaries will be aligned with the candidate's skills, qualifications, and experience, within the official salary ranges established by the Spanish Research Council (CSIC): €27,000–€42,000 gross per year for BSc/MSc holders, and €38,000–€53,000 for PhD holders.
Expressions of interest in a single pdf should be directed to ****** including:Curriculum Vitae with academic record.A motivation letter
Research Scientists In Artificial Intelligence Applied To Cryo Electron Tomography (Predoc/Postdoc)
NuevaCSIC
Murcia, ES
Research Scientists In Artificial Intelligence Applied To Cryo Electron Tomography (Predoc/Postdoc)
CSIC · Murcia, ES
Python C++ MATLAB
- The Instituto Biofisika (IBF; ) is ajoint research centre of the University of the Basque Country (UPV/EHU) and the Spanish National Research Council (CSIC).
Successful candidates will join the Laboratory for Numerical Methods of Cryo Electron Tomography (cryoET), led by Dr. Daniel Castaño Díez.
The group is dedicated to advancing computational methodologies for the automated analysis and interpretation of 3D cellular imagery, primarily through its in-house software platform Dynamo ( research project "RGP0017/2020 - Time-resolving the mechanism of exocytosis in situ" funded by the Human Frontiers Science Program has revealed deep insights into the mechanics of exocitosys in living cells through the development of new methods of cryo electron tomography processing.
We aim now at extending this tool through the integration of novel deep learning techniques for the identification and characterization of small, flexible proteins within their natural surroundings.
The successful applicant will contribute to the development of these new methodologies, as well as to the ongoing development and maintenance of the software.
Additionally, they will be involved in the analysis of cryoET datasets provided by external collaborators.Ideal candidates for these positions must hold an official degree in Mathematics, Computer Science, Engineering or similar, and has a strong background in Matlab.
An interest in carrying research in Life Sciences is assumed.Necessary qualifications are:Experience in Deep Learning and/or other methods from Artificial Intelligence.Solid background in numerical mathematics, including optimization and heuristic optimization methods.Proficiency in software prototyping and production.
Good command of MATLAB, Python, C++ and/or CUDA is expected.Further desirable qualifications of the successful candidate include:Experience in Image Processing for Electron Microscopy.Experience in Image Processing for Light Microscopy.Experience in Molecular Dynamics Simulations.Positions have a flexible incorporation date aiming at an effective start date in Fall 2025 and with additional third-party funding secured till August 2029.
Salaries will be aligned with the candidate's skills, qualifications, and experience, within the official salary ranges established by the Spanish Research Council (CSIC): €27,000–€42,000 gross per year for BSc/MSc holders, and €38,000–€53,000 for PhD holders.
Expressions of interest in a single pdf should be directed to ****** including:Curriculum Vitae with academic record.A motivation letter
Research Scientists In Artificial Intelligence Applied To Cryo Electron Tomography (Predoc/Postdoc)
NuevaCSIC
Jaén, ES
Research Scientists In Artificial Intelligence Applied To Cryo Electron Tomography (Predoc/Postdoc)
CSIC · Jaén, ES
Python C++ MATLAB
- The Instituto Biofisika (IBF; ) is ajoint research centre of the University of the Basque Country (UPV/EHU) and the Spanish National Research Council (CSIC).
Successful candidates will join the Laboratory for Numerical Methods of Cryo Electron Tomography (cryoET), led by Dr. Daniel Castaño Díez.
The group is dedicated to advancing computational methodologies for the automated analysis and interpretation of 3D cellular imagery, primarily through its in-house software platform Dynamo ( research project "RGP0017/2020 - Time-resolving the mechanism of exocytosis in situ" funded by the Human Frontiers Science Program has revealed deep insights into the mechanics of exocitosys in living cells through the development of new methods of cryo electron tomography processing.
We aim now at extending this tool through the integration of novel deep learning techniques for the identification and characterization of small, flexible proteins within their natural surroundings.
The successful applicant will contribute to the development of these new methodologies, as well as to the ongoing development and maintenance of the software.
Additionally, they will be involved in the analysis of cryoET datasets provided by external collaborators.Ideal candidates for these positions must hold an official degree in Mathematics, Computer Science, Engineering or similar, and has a strong background in Matlab.
An interest in carrying research in Life Sciences is assumed.Necessary qualifications are:Experience in Deep Learning and/or other methods from Artificial Intelligence.Solid background in numerical mathematics, including optimization and heuristic optimization methods.Proficiency in software prototyping and production.
Good command of MATLAB, Python, C++ and/or CUDA is expected.Further desirable qualifications of the successful candidate include:Experience in Image Processing for Electron Microscopy.Experience in Image Processing for Light Microscopy.Experience in Molecular Dynamics Simulations.Positions have a flexible incorporation date aiming at an effective start date in Fall 2025 and with additional third-party funding secured till August 2029.
Salaries will be aligned with the candidate's skills, qualifications, and experience, within the official salary ranges established by the Spanish Research Council (CSIC): €27,000–€42,000 gross per year for BSc/MSc holders, and €38,000–€53,000 for PhD holders.
Expressions of interest in a single pdf should be directed to ****** including:Curriculum Vitae with academic record.A motivation letter
Research Scientists In Artificial Intelligence Applied To Cryo Electron Tomography (Predoc/Postdoc)
NuevaCSIC
Málaga, ES
Research Scientists In Artificial Intelligence Applied To Cryo Electron Tomography (Predoc/Postdoc)
CSIC · Málaga, ES
Python C++ MATLAB
- The Instituto Biofisika (IBF; ) is ajoint research centre of the University of the Basque Country (UPV/EHU) and the Spanish National Research Council (CSIC).
Successful candidates will join the Laboratory for Numerical Methods of Cryo Electron Tomography (cryoET), led by Dr. Daniel Castaño Díez.
The group is dedicated to advancing computational methodologies for the automated analysis and interpretation of 3D cellular imagery, primarily through its in-house software platform Dynamo ( research project "RGP0017/2020 - Time-resolving the mechanism of exocytosis in situ" funded by the Human Frontiers Science Program has revealed deep insights into the mechanics of exocitosys in living cells through the development of new methods of cryo electron tomography processing.
We aim now at extending this tool through the integration of novel deep learning techniques for the identification and characterization of small, flexible proteins within their natural surroundings.
The successful applicant will contribute to the development of these new methodologies, as well as to the ongoing development and maintenance of the software.
Additionally, they will be involved in the analysis of cryoET datasets provided by external collaborators.Ideal candidates for these positions must hold an official degree in Mathematics, Computer Science, Engineering or similar, and has a strong background in Matlab.
An interest in carrying research in Life Sciences is assumed.Necessary qualifications are:Experience in Deep Learning and/or other methods from Artificial Intelligence.Solid background in numerical mathematics, including optimization and heuristic optimization methods.Proficiency in software prototyping and production.
Good command of MATLAB, Python, C++ and/or CUDA is expected.Further desirable qualifications of the successful candidate include:Experience in Image Processing for Electron Microscopy.Experience in Image Processing for Light Microscopy.Experience in Molecular Dynamics Simulations.Positions have a flexible incorporation date aiming at an effective start date in Fall 2025 and with additional third-party funding secured till August 2029.
Salaries will be aligned with the candidate's skills, qualifications, and experience, within the official salary ranges established by the Spanish Research Council (CSIC): €27,000–€42,000 gross per year for BSc/MSc holders, and €38,000–€53,000 for PhD holders.
Expressions of interest in a single pdf should be directed to ****** including:Curriculum Vitae with academic record.A motivation letter
Research Scientists In Artificial Intelligence Applied To Cryo Electron Tomography (Predoc/Postdoc)
NuevaCSIC
Madrid, ES
Research Scientists In Artificial Intelligence Applied To Cryo Electron Tomography (Predoc/Postdoc)
CSIC · Madrid, ES
Python C++ MATLAB
- The Instituto Biofisika (IBF; ) is ajoint research centre of the University of the Basque Country (UPV/EHU) and the Spanish National Research Council (CSIC).
Successful candidates will join the Laboratory for Numerical Methods of Cryo Electron Tomography (cryoET), led by Dr. Daniel Castaño Díez.
The group is dedicated to advancing computational methodologies for the automated analysis and interpretation of 3D cellular imagery, primarily through its in-house software platform Dynamo ( research project "RGP0017/2020 - Time-resolving the mechanism of exocytosis in situ" funded by the Human Frontiers Science Program has revealed deep insights into the mechanics of exocitosys in living cells through the development of new methods of cryo electron tomography processing.
We aim now at extending this tool through the integration of novel deep learning techniques for the identification and characterization of small, flexible proteins within their natural surroundings.
The successful applicant will contribute to the development of these new methodologies, as well as to the ongoing development and maintenance of the software.
Additionally, they will be involved in the analysis of cryoET datasets provided by external collaborators.Ideal candidates for these positions must hold an official degree in Mathematics, Computer Science, Engineering or similar, and has a strong background in Matlab.
An interest in carrying research in Life Sciences is assumed.Necessary qualifications are:Experience in Deep Learning and/or other methods from Artificial Intelligence.Solid background in numerical mathematics, including optimization and heuristic optimization methods.Proficiency in software prototyping and production.
Good command of MATLAB, Python, C++ and/or CUDA is expected.Further desirable qualifications of the successful candidate include:Experience in Image Processing for Electron Microscopy.Experience in Image Processing for Light Microscopy.Experience in Molecular Dynamics Simulations.Positions have a flexible incorporation date aiming at an effective start date in Fall 2025 and with additional third-party funding secured till August 2029.
Salaries will be aligned with the candidate's skills, qualifications, and experience, within the official salary ranges established by the Spanish Research Council (CSIC): €27,000–€42,000 gross per year for BSc/MSc holders, and €38,000–€53,000 for PhD holders.
Expressions of interest in a single pdf should be directed to ****** including:Curriculum Vitae with academic record.A motivation letter
Research Scientists In Artificial Intelligence Applied To Cryo Electron Tomography (Predoc/Postdoc)
NuevaCSIC
Orense, ES
Research Scientists In Artificial Intelligence Applied To Cryo Electron Tomography (Predoc/Postdoc)
CSIC · Orense, ES
Python C++ MATLAB
- The Instituto Biofisika (IBF; ) is ajoint research centre of the University of the Basque Country (UPV/EHU) and the Spanish National Research Council (CSIC).
Successful candidates will join the Laboratory for Numerical Methods of Cryo Electron Tomography (cryoET), led by Dr. Daniel Castaño Díez.
The group is dedicated to advancing computational methodologies for the automated analysis and interpretation of 3D cellular imagery, primarily through its in-house software platform Dynamo ( research project "RGP0017/2020 - Time-resolving the mechanism of exocytosis in situ" funded by the Human Frontiers Science Program has revealed deep insights into the mechanics of exocitosys in living cells through the development of new methods of cryo electron tomography processing.
We aim now at extending this tool through the integration of novel deep learning techniques for the identification and characterization of small, flexible proteins within their natural surroundings.
The successful applicant will contribute to the development of these new methodologies, as well as to the ongoing development and maintenance of the software.
Additionally, they will be involved in the analysis of cryoET datasets provided by external collaborators.Ideal candidates for these positions must hold an official degree in Mathematics, Computer Science, Engineering or similar, and has a strong background in Matlab.
An interest in carrying research in Life Sciences is assumed.Necessary qualifications are:Experience in Deep Learning and/or other methods from Artificial Intelligence.Solid background in numerical mathematics, including optimization and heuristic optimization methods.Proficiency in software prototyping and production.
Good command of MATLAB, Python, C++ and/or CUDA is expected.Further desirable qualifications of the successful candidate include:Experience in Image Processing for Electron Microscopy.Experience in Image Processing for Light Microscopy.Experience in Molecular Dynamics Simulations.Positions have a flexible incorporation date aiming at an effective start date in Fall 2025 and with additional third-party funding secured till August 2029.
Salaries will be aligned with the candidate's skills, qualifications, and experience, within the official salary ranges established by the Spanish Research Council (CSIC): €27,000–€42,000 gross per year for BSc/MSc holders, and €38,000–€53,000 for PhD holders.
Expressions of interest in a single pdf should be directed to ****** including:Curriculum Vitae with academic record.A motivation letter
Research Scientists In Artificial Intelligence Applied To Cryo Electron Tomography (Predoc/Postdoc)
NuevaCSIC
Zaragoza, ES
Research Scientists In Artificial Intelligence Applied To Cryo Electron Tomography (Predoc/Postdoc)
CSIC · Zaragoza, ES
Python C++ MATLAB
- The Instituto Biofisika (IBF; ) is ajoint research centre of the University of the Basque Country (UPV/EHU) and the Spanish National Research Council (CSIC).
Successful candidates will join the Laboratory for Numerical Methods of Cryo Electron Tomography (cryoET), led by Dr. Daniel Castaño Díez.
The group is dedicated to advancing computational methodologies for the automated analysis and interpretation of 3D cellular imagery, primarily through its in-house software platform Dynamo ( research project "RGP0017/2020 - Time-resolving the mechanism of exocytosis in situ" funded by the Human Frontiers Science Program has revealed deep insights into the mechanics of exocitosys in living cells through the development of new methods of cryo electron tomography processing.
We aim now at extending this tool through the integration of novel deep learning techniques for the identification and characterization of small, flexible proteins within their natural surroundings.
The successful applicant will contribute to the development of these new methodologies, as well as to the ongoing development and maintenance of the software.
Additionally, they will be involved in the analysis of cryoET datasets provided by external collaborators.Ideal candidates for these positions must hold an official degree in Mathematics, Computer Science, Engineering or similar, and has a strong background in Matlab.
An interest in carrying research in Life Sciences is assumed.Necessary qualifications are:Experience in Deep Learning and/or other methods from Artificial Intelligence.Solid background in numerical mathematics, including optimization and heuristic optimization methods.Proficiency in software prototyping and production.
Good command of MATLAB, Python, C++ and/or CUDA is expected.Further desirable qualifications of the successful candidate include:Experience in Image Processing for Electron Microscopy.Experience in Image Processing for Light Microscopy.Experience in Molecular Dynamics Simulations.Positions have a flexible incorporation date aiming at an effective start date in Fall 2025 and with additional third-party funding secured till August 2029.
Salaries will be aligned with the candidate's skills, qualifications, and experience, within the official salary ranges established by the Spanish Research Council (CSIC): €27,000–€42,000 gross per year for BSc/MSc holders, and €38,000–€53,000 for PhD holders.
Expressions of interest in a single pdf should be directed to ****** including:Curriculum Vitae with academic record.A motivation letter