138 parallel-processing-bioinformatics "https:" positions at ETH Zurich in Switzerland
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apply bioinformatics and statistical genomics approaches to characterize trait-associated sequence variation. We offer two PhD positions at the interface of computational and statistical genomics, and
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on Microalgae and plant-based foods in Human Nutrition and Health. The Sustainable Food Processing group focuses on a system-oriented approach in food production via the consideration of the total value chain
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The ETH Zurich technology platform NEXUS Personalized Health enables discovery and translational research for personalized health. We offer a broad range of expertise across Clinical Bioinformatics
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their supervisor and from colleagues/collaborators motivated for independent literature reading and generating testable hypotheses diligent in documenting their work - both lab work as well as bioinformatic work
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of computer graphics fundamentals, numerical methods, and GPU/parallel computing concepts. Experience with at least one major deep learning framework (PyTorch preferred). Excellent problem-solving skills and
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of research excellence through peer-reviewed publications Evidence of comittment to reproducibity in bioinformatics through the use of Code Repositories Evidence of ability and experience in handling
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of Biosystems Science and Engineering (D-BSSE) at ETH Zurich in Basel (https://bsse.ethz.ch/) is looking for a head for the new departmental Research Data Management Facility to start immediately or by agreement
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parallel and distributed systems, including performance tuning Programming and tooling such as C/C++, Python, CUDA, OpenMP, and Spack Linux-based systems, scripting, Slurm, and general systems engineering
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applications. HPC and orchestration of scientific data processing workflows. Parallel computing (GPU & CPU). good software engineering practices for scientific software (version control, testing, continuous
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energy transfer, developing and employing computer simulations, laboratory experiments, and field analyses. Our aim is to gain fundamental insights and develop sustainable technologies to address societal