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the lab, and at the same time to play an active role in shaping and creating an inspiring research and working environment. In line with our and Uni Basel values (https://www.unibas.ch/en/Research/Values
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these compare with human data. Within the scope of a given behavioral domain, we design theoretically guided prompting strategies and study when LLM and human responses converge or diverge. The project requires
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discipline Experience in relevant daylight research (demonstrated by publications or PhD thesis) We offer Your job with impact: Become part of ETH Zurich, which not only supports your professional development
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(demonstrated by project portfolio, publications, or PhD thesis) Masters degree in architecture, urban design, arts, or another relevant discipline, PhD preferred We offer Your job with impact: Become part of ETH
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Institute for Snow and Avalanche Research SLF in Davos and the Department of Environmental Systems Science at ETH Zurich studies water and climate extremes in mountain regions under global change. The group
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at ETH Zurich and the Department of Environmental Chemistry at Eawag share common research interests in understanding the fate of organic chemicals in the environment and team up for the study of water
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studies, the candidate interacts with Chemists developing novel bioactive small molecules targeting relevant signaling nodes in the mentioned pathologies. The working place of the successful candidate is
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, selectively captured using antigen-specific monoclonal antibodies, and detected and quantified via flow cytometry. The postdoctoral researcher will work closely with an ongoing PhD project at the University
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cancer and metabolism. For a summary see: https://p3.snf.ch/project-204602 . ii) investigating of the role of phosphoinositide 3-kinase (PI3K) signaling in allergy, metabolic control, obesity, diabetes and
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, Lausanne 1015, Switzerland [map ] Subject Areas: • stochastic differential equations (SDEs); stochastic partial differential equations (SPDEs); stochastic processes on manifolds; multi-scale stochastic