184 computer-programmer-"https:"-"Brookhaven-Lab" "https:" "https:" "https:" "Dr" "UCL" positions at ETH Zurich in Switzerland
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. The doctoral student will be co-supervised by Dr. Efe Balta (inspire AG) and Prof. John Lygeros (IfA). The Automatic Control Laboratory (IfA) in the Department of Information Technology and Electrical
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100%, Zurich, fixed-term The Computational Design Lab is an interdisciplinary research group at ETH Zurich, led by Prof. Dr. Bernd Bickel . We develop novel algorithms and next-generation
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of effects related to high electric field strengths and voltages and their application. We work with a very strong experimental focus and our researchers plan, design, construct, build, commission and automate
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actively promote gender equality and foster an open, inclusive work environment. For further information, please contact Dr Valentina Vitali, ETH Zurich (valentina.vitali@usys.ethz.ch ). Start Date: February
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(including current transcript if enrolled in an MSc programme) Contact information for 2-3 referees Please note that we exclusively accept applications submitted through our online application portal
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directed to Prof. Dr. Maarten Delbeke by email institut@gta.arch.ethz.ch (no applications please). We would like to point out that the pre-selection is carried out by the responsible recruiters and not by
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Ecohydrology groups please visit the respective websites. Questions regarding the positions can be directed to Dr. Marius Floriancic (floriancic@ifu.baug.ethz.ch ) and Prof. Dr. Nina Buchmann (nina.buchmann
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organic matter composition. Your research will be part of the funded SNSF starting grant research project ROOTS (PI: Dr. Cindy De Jonge): “Reconstructing soil fertility across Time and Space”. Project
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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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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