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of commercial, scientific, and political developments. The Southern Ocean is no longer a remote region (if it ever was). Scientists, fishers, and tourists travel to Antarctica and its surrounding waters
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around 30 GHz. The successful candidate is expected to take over a leading role within the MADMAX collaboration in the development, characterization and implementation of important parts
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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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research group study the genetic and epigenetic changes that drive the development of hematological malignancies by employing cutting-edge multi-omics approaches. The successful candidate will join a dynamic
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 23 days 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
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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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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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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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(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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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
developing scalable machine learning models for applications in materials science. Your tasks include contributing to the development of the Materials Learning Algorithmssoftware package and applying machine