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EU-MSCA PhD position: Molecularly imprinted polymers for phosphopeptide assays of oncogenic pathways
) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer
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) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer
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Optimal Control Theory Strong programming skills in C++/Python/MATLAB Familiarity with parallelization and high performance computing (CPU and GPU friendly code) Experience with Machine Learning, generative
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will contribute to areas such as the design and analysis of algorithms (e.g. randomized, quantum, approximation, property testing, online, streaming, sublinear, fine-grained, distributed/parallel) and/or
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all levels of the undergraduate Psychology program (Years 1–3). In parallel, the selected candidate will be required to undertake pedagogical training to ensure effective integration into the teaching
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, reproducible computational workflows for large-scale screening and multiscale model integration. HPC at Scale: Run, optimize, and profile large simulations on HPC systems; ensure efficient parallel performance
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engineering or a related field (including computer science/engineering) Prior experience with computer programming Prior experience with CFD modeling Develop and implement models for multiphysics modelling in
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requires regular presence at the station (about 2.5 hours’ travel from Uppsala). Swedish and English are used in parallel at the department. The professor should be able to perform most of their tasks in
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to the University, providing advice and guidance to analysts, designers, and less experienced colleagues where necessary. • Consult with and advise Project Managers to help them plan, prioritise and set project
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. in physics, bioengineering, or a closely related field. Preferred Qualifications Extensive experience in Monte Carlo simulation, GPU-based parallel computing, and image reconstruction techniques