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candidate with a strong background geology/geomorphology, or a related discipline, a strong interest for evolutionary biology, and who is interested in bridging field data, computational modeling, and large
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progress Profile Required PhD in Computer Science with the focus on AI Proficiency in python programming Strong expertise in machine learning and deep learning frameworks (especially PyTorch) Demonstrated
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100%, Zurich, fixed-term Within the project Static and Dynamic Crystal Chirality, which is a Swiss National Science Foundation "replacement ERC" Advanced Grant, we are working to develop a combined
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modelling and/or empirical analysis. The research will ideally combine insights from economics and e.g. computer science. Profile Applicants should hold a PhD in Economics with a strong economic basis and
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largest research centre for the natural and engineering sciences in Switzerland. The current research focus is the investigation of novel magnetic systems at the mesoscopic scale making use of the clean
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the field of Computer Science or similar Solid background in the foundations of reinforcement learning Proven research experience with first-authored publications at peer-reviewed conferences (ICML
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intends to position Swiss computational sciences in the emerging exascale-era. For that purpose, it supports projects whose goal is to port existing or novel scientific applications to cutting-edge hardware
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and forest health across large scales. Project background UPSCALE (2024-2028) is a 4-year multidisciplinary project led by ETH and WSL. It is funded by the Swiss National Science Foundation. UPSCALE
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100%, Zurich, fixed-term The Frazzoli group at the Institute for Dynamic Systems and Control, Department of Mechanical and Process Engineering (D-MAVT) is looking for a postdoctoral researcher to
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quantum information science. Led by Prof. Wenchao Xu , the EQE group focuses on harnessing the potential of quantum systems involving neutral atoms and their Rydberg states for advancing quantum science and