201 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at ETH Zurich
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This computational project will employ calculations based on density functional theory (DFT) and extensions of DFT, such as DFT+U and DFT in combination with dynamical mean-field theory (DMFT). It is
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, comprising RDM experts, research software engineers, data scientists, etc. Profile This position requires PhD degree in data / computational science or related field such as physics, bioinformatics
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problems in scientific or engineering domains using proprietary/real data (beyond public benchmarks), where challenges like distributional generalization, multi-objective trade-offs, causality, privacy
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ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct
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R. Studart, Tel +41 44 633 70 50 or email andre.studart@mat.ethz.ch (no applications). About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We
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, computers, whiteboards, ideation tools, and custom-designed furniture. We currently have two locations: a five-storey house near the ETH main building, and one on the Hönggerberg campus. We share our open
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in one of the most inspiring spaces at ETH Zürich - surrounded by 3D printers, computers, whiteboards, ideation tools and custom-designed furniture. We currently have two locations: a five-storey house
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completion) in Chemistry, Material Science, Chemical or Process Engineering or closely related We are looking for candidates who are self-driven and highly motivated, creative and excited to work in
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of the student's PhD thesis. The PhD program at D-USYS (Department of Environmental Systems Science), ETH Zürich typically lasts three to four years on average. PhD students usually have to conduct research, study
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of Environmental Engineering. Project background The two PhD positions are part of a recently funded SNSF project aimed at systematically investigating nonlinear biofilm rheology, with emphasis on the role