33 associate-professor-computer-"https:"-"https:"-"https:" Postdoctoral research jobs in Switzerland
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experimental approaches including electrophysiology, data analysis, and computational approaches. Possible methods include ex vivo electrophysiology of human, primate, pig, and mouse retina, in vivo recordings
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The Swiss Centre for Applied Human Toxicology (SCAHT), associated to the University of Basel, is seeking a highly motivated Postdoctoral Researcher in Digital & Computational Toxicology
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Computational Neuroscience and AI (CNAI), led by Professor Alexander Mathis, is seeking two postdoctoral fellows to join our team working at the intersection of artificial intelligence and neuroscience. Our
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc position in 3D Computer Vision, remote sensing ... The Laboratory of Visual Intelligence
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Position in Computational Genomics, Machine Learning & Single-Cell Biology Mission
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, writing manuscripts and presenting at scientific conferences Your profile Required qualifications include a PhD degree in computational biology or a related field. We are looking for a research-driven and
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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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Position Description Position Description The research group of Professor Mikaela Iacobelli in the Department of Mathematics at ETH Zurich invites applications for a two-year postdoctoral position
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This position is funded through the University of Basel's Stay on Track program, which aims to support female postdoctoral researchers returning to work after maternity leave. Starting on: 01/09
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dedicated researcher with a PhD in mathematics, electrical or mechanical engineering, computer science or a related field, and a strong methodological background in machine learning. The ideal candidate has