172 computational-physics-"https:"-"https:"-"https:"-"https:"-"Univ" positions at ETH Zurich in Switzerland
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close collaboration with courts and partners across Switzerland. We are looking for Research Assistants (Law, Computer Science, or related fields). Job description We are looking for highly motivated
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and professionals across emerging areas like machine learning, cyber security, climate risk, distributed ledger technology, and quantum computing and translates that expertise into integrative research
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. Profile Applicants must hold a M.Sc. Diploma (120 ECTS points) or equivalent in civil, mechanical or electrical engineering, geosciences, physics, applied mathematics, computer sciences or related fields
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management to a top executive priority. Start-ups and emerging technologies, such as artificial intelligence (AI), generative AI, process automation, digital twins, autonomous systems, and blockchain
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-phonon coupling elements. With these, dedicated scattering rates can be computed and then used in quantum transport simulations. Down the line, we aim to pre-train a common GNN backbone model capable
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organised individual to support multiple experimental and computational research groups. The successful candidate will contribute to both a collaborative research network and institute-wide activities
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scientific publication. Source Data extraction from PDF documents to compile metadata of projects funded under ETH Board Open Research Data (ORD) program Contribute to data packages generated by openwashdata
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The Neutron Scattering and Magnetism Group, Physics Department, ETH Zurich, is currently looking to fill a PhD position on experimental studies of frustrated quantum magnets using neutron scattering
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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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100%, Basel, fixed-term The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational