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specifically, the computational team will build on our previous work (PMID: 38951512) to establish and train deep neuronal network models on large existing dataset with multi-omic data. Subsequently
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and Technische Universität Berlin. The IMPRS-IDI is a vibrant international doctoral program with about 75 doctoral students from more than 25 different countries. Our mission is to support students
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(UTC) Type of Contract To be defined Job Status Other Offer Starting Date 13 Oct 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 22 days ago
, virtual reality, biology and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we are modeling humans and animals shape and behavior. In the Eye
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components. To strengthen our research group Molecular Modeling / Section III, we are currently looking for a committed PhD Student (m/f/d) to start on 15/01/2026. The position is part-time (TV-L 13, 65%) and
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Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Reference Number MenoBrain-DC3 Marie Curie Grant Agreement Number 101227102 Is the Job related to staff position
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! Overall, research in the Group of Prof. Dr. Meyer zu Hörste at the Department of Neurology combines basic models and patient-derived specimen with cutting-edge technologies. One of our recent projects has
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performance. They apply and develop a broad range of interdisciplinary technologies ranging from genetics and genomics to structural biochemistry, advanced imaging and computational and mathematical modelling
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Deadline 23 Nov 2025 - 23:00 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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transport, microbial systems, or circular bioprocesses. You will contribute to developing and applying novel modeling strategies, AI-enhanced simulations, and computational workflows to explore biological