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validation of algorithm and system designs in real world settings. Your tasks: You will be working on a research project—funded by the Federal Ministry for Economic Affairs and Energy—focused on the
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novel Graph Neural Network based algorithm that can act as surrogate for FEM and accelerate process stability calculation for machining process. What you will do Investigate various ML-based
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Working closely with partners at TUD and theoretical researchers on algorithm development, performance analysis, implementation, and experimental validation. To be qualified for this position
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MSCA Doctoral Network ( https://www.elevate-dn.eu/ ) and co-supervised by our partners at the university of Liège. Your tasks in detail: Develop an event-driven learning algorithm for latent reasoning
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experience in algorithm development Enthusiasm for mobile robotics Excellent German or English language skills What we offer Cutting-edge technology in mobile outdoor robotics Hands-on work with our
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pipeline. Therefore, you will investigate different types of predictions like intent prediction, reachability approaches or Bayesian filtering and develop a robust prediction algorithm. These dynamic
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Grafing bei München, Bayern | Germany | 2 months ago
needed to extract it. Working closely with experts in imaging technology, algorithm development, biology, and medicine, you will be able to understand the entire path from physical measurements to
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will also develop a control interface for PLV mirror actuation Through experiments, you will investigate multi-beam generation Finally, you will program a scan-vector decomposition algorithm The
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freedom to ask what information is contained in these data and develop the computational and statistical approaches needed to extract it. Working closely with experts in imaging technology, algorithm
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contribute The following skills are required: experience with algorithm development in Python knowledge of digital signal processing, machine learning methods, deep learning The following knowledge