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International Max Planck Research School for Living Matter | Dortmund, Nordrhein Westfalen | Germany | about 1 month ago
molecules to dynamics (IMPRS-LM) is a joint PhD program between the Max Planck Institute of Molecular Physiology , the TU Dortmund University , the Ruhr University of Bochum , and the University of Duisburg
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of biochemistry, structural biology, biophysics, cell biology, chemical biology and synthetic biology? The International Max Planck Research School for Living Matter: from molecules to dynamics (IMPRS-LM) is a
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extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information about the PhD program at the HZDR
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for Neurosciences, Biophysics, and Molecular Biosciences (GGNB). The MINFLUX and MINSTED concepts have unlocked the door to minimally invasive, low-light-level analysis of the structure and dynamics of macromolecules
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world-class, research-based PhD — it means finding your people. Grow With Us. 🌱 Structured support. World-class labs. We’ve built a framework where you can flourish in your journey towards scientific
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memristive devices, in collaboration with PGI-14. The goal is to train a system that leverages the intrinsic non-linear dynamics of these devices to perform complex learning tasks with extreme energy
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description: The PhD project aims to investigate how tree-derived defense metabolites influence the structure and function of microbial communities, including both pathogenic and beneficial microbes. The focus
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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Germany Application Deadline 31 Oct 2025 - 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Part-time Hours Per Week 20
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. The International Max Planck Research School for Molecules of Life (IMPRS-ML) offers fully funded PhD student positions in the areas of biochemistry, structural biology, biophysics, cell biology, systems biology, and
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dynamics of these devices to perform complex learning tasks with extreme energy efficiency. Your Job: Develop and apply meta-optimization that can automatically search for the best algorithm-hardware pair