201 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"Bournemouth-University" positions at ETH Zurich
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to preferences and behavior in other policy realms. To answer these questions, the team relies on an original approach combining survey and geocoded data with survey experiments. Job description Program surveys in
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out by the responsible recruiters and not by artificial intelligence. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned
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modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and develop predictive tools
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scientists and engineers. Project background ETH Zurich | Space is building the “Project Hub” and “π Innovation Hub” — two complementary units that together provide centralized expertise for space mission
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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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ariane.hangartner(at)usys.ethz.ch (for administrative questions). About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent
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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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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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100%, Zurich, fixed-term We offer a PhD position on "In-situ characterization and Digital Modeling of Li-Ion Batteries" in the Materials and Device Engineering (MaDE) group led by Prof. Vanessa Wood