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This position is embedded in the AIR-MoPSy project (Atmospheric Impact on the R-Mode Positioning System), which supports the development of a terrestrial backup to satellite-based navigation systems. GNSS (Global
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and socially sustainable agriculture – together with society. ZALF is a member of the Leibniz Association and is located in Müncheberg (approx. 35 minutes by regional train from Berlin-Lichtenberg
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to conduct independent research at an early stage. The junior research group should focus on research and development of digital teaching scenarios (e.g. using AR, VR, AI, online videos, adaptive tools
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development. It is one of the world's leading research institutions in its field and offers natural and social scientists from around the world an inspiring environment for excellent interdisciplinary research
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is to investigate which antigen specificities are enriched in cell subpopulations, depending on the underlying neurological disease. The project will use high-throughput data to develop and apply
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human patient samples and cutting-edge AI-driven analyses Validate computational findings through functional laboratory experiments Develop and optimize protocols involving omics methods, immune cell
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in written and spoken English Structured and independent working style Desirable: Experience or interest in bioinformatics Wir bieten Ihnen Goal-oriented, individual training and development
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(m/f/d) Klinik und Poliklinik für Radiologie Scope of duties The Department of Radiology is at the forefront of developing cutting-edge interventional oncology techniques, bridging the gap between
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integration implementation of machine learning in data analysis development and implementation of custom data analysis pipelines manage your own projects and work on various data analysis projects
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 1 month ago
-depth analysis using existing or newly to-be-developed tools. Further there will be opportunities to carry out research within the PHANGS collaboration exploiting all available datasets from ALMA, HST