117 high-performance-computing positions at Technical University of Munich in Germany
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talented individuals passionate about AI, Human-Computer Interaction, Eye-Tracking, and their responsible applications. Ideal candidates will have: • An M.Sc. degree (or equivalent) in Computer Science, Game
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simulations, we utilize the high-performance LBM framework waLBerla, predominantly written in C++, but increasingly adapted for GPU computations through automatic code generation using Python scripts. In
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technologies (10x Genomics, BD Rhapsody) and high-dimensional flow cytometry to unravel the dynamics of the human immune system. We look for a motivated bioinformatician/computational scientist or postdoctoral
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Computer Science or related fields • Strong background in machine learning • Strong programming skills in Python and experience with deep learning frameworks (PyTorch or similar) • Proficient in spoken and written
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institution of the Leibniz Association that combines methods of biomolecular basic research with analysis methods of bioinformatics and analytical high-performance technologies to investigate the complex
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knowledge of computer and system architecture, as well as performance engineering. • Pleasure in taking responsibility, independent and structured way of working, high commitment, communi-cation and team
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and geopolitical issues require a rapid transformation of the system, but many uncertainties remain. Reducing uncertainties is imperative as the scale of investment required is very high and the phase
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, alternative discretization methods (e.g., Lattice Boltzmann Methods), and high-performance computing. A selection of possible research areas can be found on our website: https://www.math.cit.tum.de/math
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the contents of our website Support our outreach team Maintain and develop our MySQL database Communicate with doctoral researchers and our core members Perform administrative duties as needed Requirements
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that algorithmic parameters are tuned so that the over-approximation of the computed reachable set is small enough to verify a given specification. We will demonstrate our approach not only on ARCH benchmarks, but