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Max Planck Institute for Radio Astronomy, Bonn | Bonn, Nordrhein Westfalen | Germany | about 5 hours ago
standard software used for FRB or pulsar searches and analysis Practical experience in applying Machine Learning methods to data Experience with computer clusters and HPC Willingness to supervise Masters/PhD
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, Statistical Physics, Genome Annotation, and/or related fields Practical experience with High Performance Computing Systems as well as parallel/distributed programming Very good command of written and spoken
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17 Oct 2025 Job Information Organisation/Company University of Oldenburg Department School of Medicine and Health Services Research Field Computer science Researcher Profile Recognised Researcher
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willingness to learn: High-performance computing (distributed systems, profiling, performance optimization), Training large AI models (PyTorch/JAX/TensorFlow, parallelization, mixed precision), Data analysis
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astronomy, physics, computer science or equivalent degree. PhD preferentially within the last 3 years. Solid background in star and planet formation or small bodies of the solar system Experience in
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on the sky. This project is dedicated to resolving the longstanding challenge in geodetic VLBI, which is the systematic error caused by source structure (i.e., angular distribution of the brightness
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. Commencement into the program is contingent upon PhD thesis submission 3. Fellowships: During their time at MPG, postdocs positions are according to the German regulations and guidelines, and based
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19 Sep 2025 Job Information Organisation/Company GFZ Helmholtz-Zentrum für Geoforschung Research Field Geosciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based