372 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions in Switzerland
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interdisciplinary research projects that require multiple data sources Work with high-performance computing platforms for data storage and analysis Profile Degree in Earth sciences, data science, computer science
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close collaboration with experimental and clinical partners, and we are embedded in one of the strongest AI and computer science environments worldwide. Learn more about our research and recent work
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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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Innovation Economics is seeking a student research assistant to support the project in Supply Chain mapping described below. The position is part of the SWEET: RECIPE project , which examines the resilience
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We are looking for a PhD student with joint appointment in ETH’s (i) Food Systems Economics and Policy group (FSEP ), led by Prof. Eva-Marie Meemken, and (ii) Global Health Engineering group (GHE
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, the candidate should be committed to: doing field work, wet-lab work, learning about bioinformatics, including R and shell programing, and analyzing data using population genetics tools and theories
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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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The ETH Zurich Laboratory of Epigenetics,Nutrition and Metabolism and Sustainable Food ProcessingGroup in the Department of Health Science and Technology are running a joint strategic research line
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50%-60%, Zurich, fixed-term The laboratory of Neuroepigenetics is a biology research group at the University Zürich (UZH) and ETH Zürich. It conducts fundamental research that studies how the brain
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on our work and constantly improve it. We believe that the world can be improved with open data. Project background As part of our Open Science team, you will support us in developing efficient data