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BAM Bundesanstalt für Materialforschung und -prüfung | Berlin, Berlin | Germany | about 2 months ago
programming, research data management, AI applications, and machine computing in science. Networking and exchange in interdisciplinary digitalization communities and at BAM digitalization events with the aim
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, societal, and technological aspects of the environment shape this process. Working across disciplines such as psychology, neuroscience, computer science, economics, and sociology, we do research within a
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) and handling big data (sequencing, mass spectrometry, or similar) • Enthusiasm and background in establishing techniques in molecular biology, data management (big data, sequencing analyses) and related
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 19 days ago
model systems. Your profile Master’s degree (or equivalent) in Physics, Applied Mathematics, Mechanical Engineering, or a related field Strong interest in fluid dynamics, turbulence, and nonlinear
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Publish results in high-impact peer-reviewed journals Your Profile Master's degree in Bioinformatics, Computational Biology, Data Science, Statistics, Computer Science, Genomics, Systems Biology, or a
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of heterogeneous operational data. However, limited availability, privacy constraints, and the variable quality of real-world datasets continue to hinder the development of reliable AI solutions for energy system
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clinical data, high-end GPU resources, and integration into TWIN-X, an EU Horizon Europe consortium with 18 partners from 12 European countries. You will work with data from TUM University Hospital and
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(TV-L E13) for three years at TUM University Hospital. ---- Application is closed due to high number of applicants ---- The Institute for AI and Informatics in Medicine at TUM University Hospital is
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of fully funded PhD positions at the intersection of artificial intelligence and the life sciences. Our network The Max Planck School of Biomedical AI (BMAI) brings together leading researchers from
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strong programming/scripting skills (Python, R, C++, Java) and knowledge of ML frameworks (PyTorch, etc.) a keen interest in interdisciplinary teamwork proficiency in English experience in Data Science