221 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"CEA-IBS" positions at ETH Zurich
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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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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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, environmental monitoring, data science, and related fields Collaborate with a dynamic and international team of researchers and developers to operate and further advance the research platform Support
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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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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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. Profile Applicants must hold a M.Sc. Diploma (120 ECTS points) or equivalent in civil, mechanical or electrical engineering, geosciences, physics, applied mathematics, computer sciences or related fields
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for the renewable energy sector via the M2A European Training Network (ETN), funded by the European Commission’s Horizon 2020 Marie Skłodowska-Curie programme. Project background M2A puts forward a robust methodology
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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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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
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component of solid-state transformers (SSTs). Such SSTs are required, for example, in future AI data centres, where power consumption per computer rack increases to levels of several hundred kilowatts or even