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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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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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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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sequencing, single-cell, and spatial data. As a Senior Bioinformatics Analyst, you will play a key role in designing, executing, and documenting analytical workflows while applying scientific rigor and best
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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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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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using emerging non-invasive exhalomics (exhaled breath metabolomics) approach. The research program integrates animal experiments with advanced analytical techniques and bioinformatics to enhance
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targets an order-of-magnitude improvement in efficiency through parallelization, near-sensor processing, and heterogeneous architectures with specialized accelerators. chevron_right Working, teaching and
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, we collect data through biological monitoring, environmental DNA methods, remote sensing, and field sampling, and use these data to answer questions with statistical and process-based models