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Master’s degree in Computer Science, AI, Machine Learning, Mathematics, Electrical Engineering, or a closely related field; or Master’s degree in Medicine (MD) with strong Python skills and some ML
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100%, Basel, fixed-term We develop technologies to exploit whole cell and enzyme catalysts for manufacturing of substances for applications in fields such as sustainable chemistry, innovative food
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Funding: Full position (100%) for up to 3 years Environment: A collaborative, international team at ETH Zurich's Basel campus with access to state-of-the-art HD-MEA technology and microscopy facilities
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biochemistry and cell biology. The goal is to build a collaborative interdisciplinary team that uses population genomics to support the development an implementation of working experimental transposon models in
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meta-optics have led to an advanced control over light-matter interaction, greatly contributing to different research directions including imaging, nonlinear optics, biosensing and photonic computing
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), lower back pain, neuro-degenerative disorders and neurological tumors. At the core of our research is the collaboration across disciplines spanning expertise in medicine, biology, computer and data
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structure–biodegradability relationships. Advance the analytical chemistry of water-soluble polymers, including mass-spectrometric and stable-isotope-tracing approaches. Attend international conferences
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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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100%, Basel, fixed-term We develop technologies to exploit whole cell and enzyme catalysts for manufacturing of substances for applications in fields such as sustainable chemistry, innovative food
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collaboration with internationally leading groups in cell, organoid and computational biology. Profile PhD degree or equivalent in the fields of cell biology, mechanobiology, bionanotechnology, systems biology