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sciences, social sciences, and humanities. More information: https://www.geo.fu-berlin.de/en/geol/fachrichtungen/planet/projects/SFB1759 The planned position is offered at the Freie Universität Berlin
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(IAS-2), we employ theory, modeling, and simulation to study and understand the structure, self-assembly, and dynamics of complex fluids, active soft matter, and living matter - on the basis of physical
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twin. This includes the development of efficient simulation methods, the integration of measurement data for state reconstruction, and the implementation of model predictive control strategies with
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numerical model simulating wood formation. Position: Doctoral candidate (m/f/d) in the field of tree growth and wood physiology, 75%, available from March 2027 Your Profile Completed master studies in
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information, applying hydrological models to simulate extreme floods, and contribute to recommendations for practice on flood design estimation. Your responsibilities: Develop and apply statistical methods
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solvable models) alongside large-scale numerical simulations on high-performance computing facilities Characterize the transitions that govern quantum information protection, from encoding and decoding
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projections under climate change and plays a key role in evaluating flood safety targets and risk-reduction measures. We are looking for a candidate to run the GFZ model chain RFM (Regional Flood Model
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and strong interest in programing, modeling, and computer simulations. Knowledge in statistical mechanics, active and living matter. High degree of independence and commitment. Very good command
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develop advanced models, algorithms, and control solutions for simulating, optimizing, and operating future integrated energy systems. We address the challenges arising from the increasing integration
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-of-the-art multi-scale electrophysiological data using modern analysis techniques construct data-informed stochastic and deterministic simulations of activity data to model observed dynamics and to assess