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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 14 days ago
-energy group carries out major space hardware activities in support of its astrophysics research program, including the development of X-ray detectors and X-ray optics. The group has contributed
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 19 days ago
compact, lightweight and robust holographic instruments Develop real-time data pipelines using edge computing, built on our existing toolchain and enhanced with machine learning tech-niques Validate
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computer aided methods. Qualifications and Experience • Outstanding academic degree in materials science, metallurgy, metal physics or similar degree • Excellent doctorate with focus on computational
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fields Interest in immunology, systems biology and translational research Strong interest in mass spectrometry-based proteomics (prior experience advantageous) Proficiency in computational data analysis
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. See the details on the participating institutions, information on the sponsorship programme and the relevant contacts here . Application Deadline Application deadlines differ and may be requested
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is affiliated with the TUM School of Computation, Information and Technology (https://www.cit.tum.de/), the TUM School of Medicine and Health (https://www.mh.tum.de/), and the Munich Data Science
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the faculties of medicine and computer science at TUM, as well as the Munich Center for Machine Learning (MCML). It is a great place for interdisciplinary research between medicine and data science. We
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: completed scientific higher education degree (PhD) in the field(s) of Earth system science, physics, climate physics, geosciences, mathematics, computer science or a comparable field demonstrated experience
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, Computational Social Science, or a closely related discipline Demonstrated expertise in research on anti-democratic attitudes, political extremism, and populist ideologies, supported by relevant publications
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Engineering, Computer Engineering, Computer Science, or a closely related field Strong background in robotics fundamentals: kinematics, dynamics, control, planning Proficiency in programming (C++, Python), and