255 assistant-professor-computer-science-and-data-"U" Postdoctoral positions in Germany
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communication system are modeled using information theory. We wish to investigate how interleaving can reduce the overhead and computational load due to coding coefficients required in classical linear random
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 2 months 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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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | about 2 months 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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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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Postdoctoral Researcher (Physicist, Chemist or Material Scientist( (all genders) for a Tenure Tra...
laboratories for science. Currently, the new FAIR (Facility for Antiproton and Ion Research), one of the world's largest research projects, will be built in international cooperation. GSI and FAIR offer
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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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23.07.2025, Wissenschaftliches Personal The Ecosystem Dynamics Group at the TUM School of Life Sciences, Technical University of Munich studies how ecosystems change in time and space. We quantify
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and competing interests at the edge of the world" covering natural and social science perspectives, that will cohere around the ‘dilemma’ facing the Southern Ocean: how competing interests impact its
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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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performance and degradation of electrolysis in dependence on different operating modes Your Profile: Completed Master’s degree in chemical engineering, computational engineering, computational mathematics, data