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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 8 days ago
metabolites (e.g. H2S) contribute to the corrosion of the container material. The underlying mechanisms of microbiologically influenced corrosion and their respective contributions in a bentonite environment
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simulation and machine learning funded by the Klaus Tschira Foundation. Profile Solid grounding in statistical mechanics Experience with machine learning and/or molecular simulation; strong Python and PyTorch
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24.09.2026, Academic staff Advancing Stable Isotope Analysis to Study the Mechanism of Heterogeneous Photocatalytic Systems with Kinetic Isotope Effect Measurements The Chair of Analytical Chemistry
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– Germany (www.walther-group.com ) Max Planck Graduate Center between MPI for Polymer Research and JGU Key words: Artificial Cells, Synthetic Cells, Chemo-Mechanical Feedback, pH Feedback Systems, pH Waves
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Zukünftige Lebens- und Arbeitswelten. Über uns Der Lehrstuhl für Ergonomie unter der Leitung von Prof. Dr. Klaus Bengler forscht und lehrt mit ca. 20 Mitarbeiter/innen im Department of Mechanical Engineering
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psychology. Her research investigates the fundamental mechanisms underlying cardiovascular disease and vascular growth, with the aim of developing new cellular and pharmacological therapies. Current work
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Physical Geography), Geoarchaeology, Geology/Earth Sciences, Prehistory and Early History (with a geoscientific component), Environmental Sciences, Geoecology, or another related discipline Strong interest
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appointment holding a master’s degree with excellent results in disciplines like Aerospace Engineering, Mechanical Engineering or a comparable field of study • Proven ability to identify and solve problems
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mechanics, permeability, responsiveness, and biointerface properties. By integrating enzymatic reaction networks, metabolic modules, and homeostatic feedback systems, we will establish synthetic cross-feeding
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. The tube wall’s viscoelasticity reorganises in response – continually learning its future response. You will develop a theory describing the physical mechanisms of Physarum’s learning mechanics and thereby