29 processor-"https:"-"https:"-"https:"-"CRAG-Centre-de-Recerca-Agrigenòmica" positions in Netherlands
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27 Feb 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile
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16 Jan 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Computer architecture Computer science » Computer hardware Researcher
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to kilometer scales. The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and
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the magnetization will propagate without scattering and loss of energy. Such structures could potentially be a novel building block for future computer chips and more sustainable IT technologies. Your research will
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, characterisation and performance evaluation of onboard digital signal/data processing equipment (such as telecom digital transparent and regenerative processors, digital signal generation and signal processing units
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software architectures and frameworks, new-generation processors and multicores, model-based engineering and AI used for software verification and validation as well as on board. The Section also
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, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost
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) Master's degree in a socio-technical programme, such as: (Applied) Data Science, Econometrics, Artificial Intelligence, (Computational) Social Science, Human Computer Interaction. Experience with at least
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processing equipment utilising FPGAs/processors/ microcontrollers, single-point-of-failure-free circuit design, failure containment strategies, and the use of radiation-hardened, tolerant, or COTS components
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and understanding of complex biological systems and biodiversity. You will get the opportunity to learn about both simple and complex biological models, computer programming, data visualisation, and