169 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation"-"Simons-Foundation" positions at Technical University of Denmark in Denmark
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Job Description Are you driven to shape global health policy and lead impactful international development programs? Do you have a passion for advancing antimicrobial resistance (AMR) solutions and a
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computing Strong programming skills in C++ and experience with parallel computing (e.g., CUDA, MPI). Experience with tokamak edge gyro-fluid modelling Experience with continuous integration of scientific
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Job Description Producing green fuels via Power-to-X (PtX) technologies demands large volumes of ultrapure water. In parallel, the transition toward bioenergy and biogas production is intensifying
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diffusion techniques to design materials with targeted optical properties, scaling to large systems through efficient representations and GPU parallelization. We will also create multi-fidelity predictive
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an international, interdisciplinary team of 17 doctoral candidates, based at universities and industrial firms throughout Europe. You will be supported by two mentors within the SPACER project and will have multiple
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Research Framework Programme? Horizon Europe - MSCA Reference Number DC6 Marie Curie Grant Agreement Number 101225914 Is the Job related to staff position within a Research Infrastructure? No Offer
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Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Reference Number DC5 Marie Curie Grant Agreement Number 101225914 Is the Job related to staff position within a
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commercialized by a DTU spin-out (Spectroinlets) - but we have to move beyond what we already have in order to enable automated detection of non-volatile products. This will be your main objective. In parallel
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with project coordination and collaboration across multiple stakeholders You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year
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this project, we will develop neural diffusion techniques to design materials with targeted optical properties, scaling to large systems through efficient representations and GPU parallelization. We will also