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models of sensorimotor processing. We are recruiting two postdocs: Postdoc in Computer Vision & AI for Behavior Analysis Postdoc in Embodied AI (Reinforcement Learning for Motor Control) Main duties
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Infrastructure? No Offer Description University of Bern – Computer Vision Group Are you passionate about deep learning, self-supervised learning, generative AI, and pushing the boundaries of artificial
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combining state-of-the-art machine learning with physicochemical knowledge and molecular modeling. Representative publications from our group include: https://doi.org/10.1038/s41467-025-63947-5 https
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combining state-of-the-art machine learning with physicochemical knowledge and molecular modeling. Representative publications from our group include: https://doi.org/10.1038/s41467-025-63947-5 https
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approaches for drug design by combining state-of-the-art machine learning with physicochemical knowledge and molecular modeling. Representative publications from our group include: https://doi.org/10.1038
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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
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international conferences and workshops Collaborative work with a high degree of personal responsibility Your profile High personal motivation and responsible work ethics Keen interest in learning how
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collaborative and international environment fosters innovation, excellence, and impactful research. The Cancer Neuroimmonology, led by Prof. Karen Dixon, is looking for a fully funded postdoctoral position
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methodological and focuses on developing new generative modeling approaches, scalable training algorithms, and foundation model technologies. The role is suited for candidates with a strong machine learning
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thermochromic molecular switches, and investigate how their interactions can be engineered to produce quantifiable memory and learning behaviors. Your tasks Synthesize libraries of single-, dual-, and