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human health, with the ultimate goal of creating microbial communities and products that optimize food quality, safety, and human health. We are seeking a postdoctoral researcher with expertise in
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) at ETH Zurich. We are looking for a Postdoctoral (equivalent to a non-tenured Assistant Professor) or PhD Researcher in Applied Macroeconomics and/or Political Economy. Project background The Chair's
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100%, Geneva, fixed-term The Neutrino Group at ETH Zurich invites applications for a Post-Doctoral Research Position. The successful candidate will make substantial contributions to the HyperKamiokande (HyperK) and FASER experiments. Our team is currently deeply engaged in neutrino physics...
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100%, Zurich, fixed-term Prof. Eva Heinen is seeking ambitious a postdoctoral researcher to join her research group at the Institute for Transport Planning and Systems, Department of Transportation
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for a 1-year Postdoctoral position in the general area of hydrological modelling and hydrosystems analysis. This is a full-time position with an anticipated start on 1 June 2024, limited to 1 year. The
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100%, Zurich, fixed-term A 1+1 year postdoctoral position is available at the Institute for Particle Physics and Astrophysics, Department of Physics, within the group of Prof. Judit Szulagyi
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80%-100%, Zurich, fixed-term Prof. Dr. Carlo Menon, Professor at ETH Zurich and Director of the Biomedical and Mobile Health Technology Lab , is looking for a postdoctoral candidate with expertise
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phosphorus metabolism using stable isotope-based evidence as proxy for the study of phosphoryl transfer reactions in aerobic microorganisms. The work associated with this postdoctoral position will focus
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100%, Zurich, fixed-term The department of Mathematics of ETH Zurich offers a two-year postdoctoral position in Probability in the group of Prof. Vincent Tassion. The position can possibly be
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for a closed-loop decision support system that can be verified in rehabilitation in many health conditions. This position is open for a postdoctoral researcher in the field of transparent machine learning