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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Green hydrogen has a central role in enabling the global
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develop methods for efficient covariance/uncertainty propagation that are suitable for embedded use on space processors. The goal is to develop methods that can be used to perform real-time covariance
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REFM deliverables across sites by establishing a common set of strategic objectives, guidelines, performance and quality management systems, optimised methods and processes, planning and coordination
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directly to the upstream swt-initiative31/skija prototype, focusing on: rendering logic. layout behavior. and basic widget implementations. In parallel, they will evaluate how the Skija backend could be
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. Solid experience in C++ programming and FPGA development. Familiarity with signal processing, analog/digital electronics, high-throughput data processing, and parallel computing. Strong analytical skills
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website: http://www.esa.int Field(s) of activity for the internship Topic of the internship: Algorithmic Optimisation of Stowage for a Cargo Return Vehicle You will help develop a numerical optimisation
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by the European Commission under the Horizon Europe Framework Programme. The MODELAIR project proposes a combination of theoretical, experimental, numerical, and data-driven science to simulate
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closely within the UMC Utrecht AI Methods Lab, the 3AI program, and the EWUU alliance (TU/e, Wageningen University & Research, Utrecht University and UMC Utrecht). Your responsibilities: Develop, evaluate
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Health, and Regenerative Medicine, and to the Life Sciences strategic theme of Utrecht University. You will collaborate closely within the UMC Utrecht AI Methods Lab, the 3AI program, and the EWUU alliance
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the Mechanical Department laboratories and computing infrastructure, including the thermal computing facility, in conjunction with the TEC infrastructure function; Analysis methods and tools for the thermal