42 physics-engineer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "DIFFER" Postdoctoral positions in Switzerland
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motivated team player who thrives in a collaborative and interdisciplinary research environment. The ideal candidate possesses a PhD degree in chemistry or chemical engineering, materials science, physics
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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symbols reshape political communities, historical memory, and claims to justice across different world regions. The successful candidate will lead an original ethnographic subproject on either: Liberal
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. Experience in laboratory management is welcome but not mandatory. Applications from candidates at different career stages will be considered, and the responsibilities can be adjusted according to experience.
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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Position Description Postdoctoral Positions in Theoretical Quantum Matter and Quantum Information Science Swiss Federal Institute of Technology in Lausanne (EPFL) The group of Dr Kruchkov at EPFL
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expertise in computational toxicology, data science, artificial intelligence and data governance. Ideally, the candidate has experience in applied science or a keen interest in applying their experience
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We are looking for a highly motivated Postdoctoral researcher (W/M) to join our laboratory at EPFL (Lausanne, Switzerland) to work on an ERC funded project aiming to reverse-engineer insect limb
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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-loop drug discovery. The project aims to establish an integrated Design–Make–Test–Analyze (DMTA) platform combining generative AI, ultra-large synthetically accessible chemical spaces, physics-informed