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Postdoc Position (f/m/d) for any of the following topics: Combining non-equilibrium alchemistry with machine learning Free energy calculations for enzyme design Permeation and selectivity mechanisms in
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 1 day ago
. Bert de Groot) is inviting applications for a PhD Student or Postdoc Position (f/m/d) for any of the following topics: Combining non-equilibrium alchemistry with machine learning Free energy calculations
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- Knowledge of quantitative data collection and analysis - Knowledge of French - Willingness to learn Phyton as a programming language - Experience in analyzing non-verbal communication - Specialist knowledge
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infrastructure, on-campus children's day care and sports facilities. Partially paid parental leave and an allowance for commuting, working from home and internet costs. A TU/e Postdoc Association that helps you
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of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In
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implement cutting-edge AI solutions for real-time, image-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning
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the findings. To ensure a solid understanding of the proposed research topic, a state of the art, bibliography, and relevant scientific references will be provided to the postdoc at the beginning of
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Chemistry group at the Institute for Atmospheric and Climate Science (IAC) – ETH Zurich invites applications for a 2-year postdoc position biosphere-atmosphere interactions. Project background The Atmospheric
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Researcher (R2) Positions Postdoc Positions Country Germany Application Deadline 15 Sep 2025 - 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Full-time Hours Per Week 39,83 Is the job funded
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or equivalent and a PhD (or close to completion) in computer science, math or comparable, or an applied/life science (e. g. engineering, biology, medicine) with a focus on data analysis and/or machine learning