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physics, microbial ecology, plant nutrition, plant physiology, plant ecology, biochemistry, and/or bioinformatics Strong interest in using process-based mathematical modeling to simulate biogeochemical
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Technomathematics, computer science, engineering, physics, mathematics or natural science or equivalent degree Very good knowledge of techniques and methods of computer-aided sciences Knowledge and experience in
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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cell technologies and the long-term stability of photovoltaic modules. The use of the finite element method allowes to simulatively investigate and evaluate the interconnection process, including
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information theory. An ideal candidate would also have knowledge of quantum mechanics of complex systems. Formal hiring requirement is a master degree in physics, computer science, or an equivalent degree
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in the field of chemistry, physics, material science or another related degree program with a scientific or engineering focus Advanced knowledge of classical chemical simulation such as DFT or other
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 22 days ago
(bio)physics, statistical mechanics, scientific computing and also a keen interest in interdisciplinary research and collaboration with experimental groups. PhD students hold (or expect to complete soon
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of ant trails. Next to statistical physics, high-performance simulations are an important tool for us, for which we have developed "HAL's MD package". This comprehensive software provides large-scale
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simulations of wind turbines with a focus on improving simulation and validation methods for onshore, offshore and floating wind turbines. Simulative analysis of the system dynamics, loads, and frequencies
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will be the agent-based model AgriPoliS (Agricultural Policy Simulator), developed at IAMO to investigate long-term structural change in agriculture under varying market, policy, and environmental