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- Technical University of Munich
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- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke
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mathematical analysis and proofs (e.g. convergence, existence, uniqueness, stability) • Scientific computing and efficient implementation in research software frameworks beyond commercial solvers
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Postdoc (f/m/d) Methods Development for the Micromechanical Characterization and Modeling of the ...
consortia # Confident use of scientific software (e.g., Origin, MATLAB) and good working knowledge of MS Office # Programming skills (ideally C/C++ or Python); experience with scientific data management
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play a key role in an ambitious research program focused on developing next‑generation multimodal imaging systems spanning the mesoscopic to microscopic scale. As part of a major research project and
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2026 - 21:59 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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projected future changes along the coast • Literature research • Scientific publishing • Teaching duties Your qualifications: • Completed academic PhD in Computer Science, Geoscience, Physics, Data Science
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research program focused on developing next‑generation multimodal imaging systems spanning the mesoscopic to microscopic scale. As part of a major research project and supported by extensive national and
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have the following: • Ph.D. in electrical engineering, physics, computational science, medical technology, biomedical computing, natural sciences, or a related discipline. • Excellent track record
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track record Above-average master’s degree in computer science, electrical/ mechanical engineering, applied mathematics, or a similar engineering-oriented quantitative discipline Advanced software
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are modeled using information theory. We wish to investigate how interleaving can reduce the overhead and computational load due to coding coefficients required in classical linear random network coding
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practical and laboratory tests as well as sophisticated simulations. We not only publish research results gained at numerous conferences and in journals, but also make our software available in open source