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] Subject Areas: Applied Mathematics, numerical methods, simulation and modelling Appl Deadline: 2025/05/31 11:59PM (accepting applications posted 2025/02/13) Position Description: Position Description
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knowledge in the areas of solid state physics, Magnetism and nanoscale phenomena Hands-on experience in one or more of the following methods is an advantage: Thin-films preparation, magneto-optical
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Max Planck Institute of Molecular Cell Biology and Genetics | Dresden, Sachsen | Germany | about 13 hours ago
: Dresden, Saxony 01307, Germany [map ] Subject Areas: Artificial Intelligence, Machine Learning, Applied Mathematics, Biomathematics, Mathematical Biology, Computational Science, Statistics, Numerical
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Poetsch on "Biomedical Genomics" at the Biotechnology Center of the TUD, where this position will be based. The successful candidate will have the opportunity to receive training in cutting-edge methods in
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/forschung/gruppen/numerical-analysis/research/ Typical responsibilities you can expect: Mathematical derivation, analysis, and comparison of models, methods, and simulation approaches Formal proofs, e.g
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technology with potentially significant impacts on numerous industrial sectors. At Fraunhofer IKS, we engage in a variety of projects aimed at developing robust and reliable applications of quantum computing
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institutions, and a research and development provider for numerous companies throughout the world. The INM is a member of the Leibniz Association and has about 250 employees. The INM Research Department Energy
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Knowledge of Matlab, and web-based technologies is of advantage Knowledge in using high-performance compute architectures Experience in implementing and optimizing scientific numeric analysis methods and
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breakage models, e.g. with stochastic tessellations Development and implementation of estimation methods for the model parameters, e.g. with machine learning or statistical methods Lab work and collection
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skills and experience with numerical modeling and particle-based methods Interest in working closely with experimentalists Excellent written and spoken English skills Experience with parallel programming