323 computational-physics-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Switzerland
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well-being. DEPOPLAND is highly interdisciplinary, bringing together expertise from landscape ecology, physical and human geography, land system science, and computational linguistics. The project is
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, middle eastern studies, political science, sociology, gender studies, see also: g3s.unibas.ch ). They may likewise be trained in interdisciplinary fields also represented at G3S: • PhD Program Gender
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Engineering Electrical Engineering Mechanical Engineering Physics Neuroscience Computer Science Chemistry or a closely related field Ideal candidates should possess several of the following: Excellent academic
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circuits to computer networks, from wireless communications to signal processing, and from control theory to electric energy. It offers a highly interdisciplinary research environment with strong expertise
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software, and fault-management functions. Integrate flight software with onboard computers, sensors, actuators, payload electronics, communication interfaces, ground systems, and externally supplied
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, statistical physics and quantum solid state physics is absolutely essential. Good computer skills are a plus. For further information see our group web page www.neutron.ethz.ch/. Applications should contain a
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100%, Zurich, fixed-term The new NCCR CLIM+ programme invites applications for a Postdoctoral Position in the Climate Extremes’ Storyline "Heat and Health" at ETH Zurich. Project background
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computational screening and process modelling The overarching goal is to connect atomic-scale mechanisms directly to their separation performance and to derive rational design principles for improved materials
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present your work internationally. You are the ideal candidate if You hold a PhD in mathematics, computer science or a related field You have a strong background in formal verification with Lean You have
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outputs. A major focus of the position is the development of AI-based reasoning strategies for oncology, including tool-augmented inference, multi-agent or compound model workflows, process supervision