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to accelerate solving AC power flow (AC-PF) computations, potentially facilitating real‑time contingency analysis, rapid design‑space exploration, and on‑line operational optimization of power systems
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strong background in applied mathematics Excellent programming skills (Python, C/C++) Good experience in machine learning and parallel computing Good organisational skills and ability to work both
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related in space and time and to behavioral events. Core Tasks: Getting familiar with the experimental data and the concepts of neuronal coding, and Elephant Analysis of the parallel rate data for
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The International Max Planck Research School on Trustworthy Computing (IMPRS-TRUST) is a graduate program jointly run by the Max Planck Institute for Informatics (MPI-INF), the Max Planck Institute
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for information-driven experiment steering (closed-loop control) Work in an interdisciplinary team of engineers, computer scientists, and life scientists Present your work at international conferences and learn
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available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme offers you the opportunity to continue your education in Germany with a postgraduate or continuing course
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available in the further tabs (e.g. “Application requirements”). Programme Description Up to 120 sponsorships for young graduates from 50 nations are awarded every year by the German Federal Parliament
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available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme offers you the opportunity to continue your education in Germany with a postgraduate or continuing course
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Investigate instance and panoptic segmentation for endosymbionts and track them over time Implement, train and test novel machine-learning-based solutions on top-tier super-computing hardware Work in an
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available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme offers you the opportunity to continue your education in Germany with a postgraduate or complementary