1,262 parallel-computing-numerical-methods "Institute of Computer Science" positions in Germany
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Deadline 3 Nov 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Permanent Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 1 day ago
scientists from physics, chemistry, biology, medicine, and computer science collaborate to uncover fundamental life processes. With more than 40 research groups and about 1,000 employees from over 66 nations
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Responsibilities Conduct research in computational methods for environmental and engineering applications. Develop and analyze numerical algorithms, reduced-order models, and machine-learning-enhanced simulation
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who works at the intersection of numerical methods, scientific computing, and data-driven modeling. The position is devoted to the development, analysis, and implementation of flexible, tailored, and
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Oct 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer Description MEDALLOY is a
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healthy subjects and patients suffering from neurological and psychiatric disorders. Functional imaging (PET, MRI) and electrophysiological methods (EEG, TMS, tDCS) are combined with computational
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part of change Application and further development of a concept from Australia for evaluating the payout phase of German pension products Development of methods and implementation of the required
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of the results to validate simulation models Work at the interdisciplinary interface of numerical methods, fluid mechanics, and experimentation What you contribute A master’s degree in computational mechanics
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of the CRC1451: Data Management for Computational Modeling . Within this project, they will develop data-driven, cross-species and cross-scales computational models of motor control based on data collected in
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scalable training and inference on parallel, distributed and GPU-accelerated computing systems Benchmark the developed approaches against established methods, assessing predictive performance, generalisation