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and prospective LCA approaches. Your profile PhD in environmental/natural sciences, computer sciences, or engineering Experience with life cycle assessment (LCA), material flow analysis
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engineers, computer scientists, physicists, and medical doctors. He or she will be able to contribute to developing a disruptive technology in robotic surgery.
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analysis skills. The working language is English. Strong candidates have a master's degree in Biology, Mathematics, Physics, computer science, or a related field, with a strong interest in biological
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, Computational Biology, Pharmacology, or a related field. A strong background in evolutionary population genetics, with expertise in mathematical model-ling and simulation, is valuable. Prior experience in
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, Mathematics, Physics, Computer science, or a related field. Prior experience in integrating diverse datasets and developing computational tools for data analysis and Interest in designing and implementing
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development. Building on the success of the MA Programme with Ashesi University , we are now looking to expand our educational partnerships and collaborations. Job description The Programme Manager will support
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100%, Zurich, fixed-term The Energy and Process Systems Engineering (EPSE) Group at ETH Zürich is looking for a doctoral student to develop predictive methods for identifying sustainable chemicals
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100%, Zurich, fixed-term The Energy and Process Systems Engineering (EPSE) Group at ETH Zürich is looking for a Postdoc exploring pathways to a circular chemical industry. The position focuses
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80%-100%, Lugano, permanent The Swiss National Supercomputing Centre (CSCS) develops and operates cutting-edge, high-performance computing (HPC) systems as an essential service facility for science
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80%-100%, Zurich, fixed-term The ETH Zürich Geothermal Energy & Geofluids (GEG) Group investigates subsurface reactive fluid and geothermal energy transfer by developing and employing computer