197 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at Nature Careers in Germany
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biology and immunology. They will research the role of the tumor microenvironment in tumor progression and the development of therapy resistance in solid tumors in the thorax. Of particular interest is
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well as two insectaria (BSL-2/BSL-3). Eight research groups are currently based at the Institute of Immunology (IfI). Further information on the IfI can be found at https://www.fli.de/de/institute/institut-fuer
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, or quantitative behavioral biology etc. The position is intended to strengthen the faculty’s research focus on “Biotic Interactions in the Anthropocene” (https://go.ur.de/biotic-interactions), ideally collaborating
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented
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Profile Completed Master’s degree in Biology, Biotechnology, Bioinformatics, Immunology, or a related field Strong interest in computational science and AI (prior formal training is not required, but a
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communication of research results in stakeholder dialogues with industry actors and policymakers Requirements: Master’s Degree or PhD in Computer Science, Physics, Engineering, Mathematics, Economics
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and Individualized Medicine ; https://curatime.org/ ) a Clusters4Future initiative funded by the German Federal Ministry of Research, Technology and Space (BMFTR), integrating RNA technologies
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the world. The Biomedical Informatics and Genetic Phenotype Redefinition Research Group at the Institute of Clinical Molecular Biology (IKMB), Kiel University (CAU) and the University Medical Center Schleswig
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PDF file to: ausschreibung01-26@mpinat.mpg.de Apply now Max Planck Institute for Multidisciplinary Sciences Department of Theoretical and Computational Biophysics Prof. Dr. Helmut Grubmüller Am Faßberg
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The Faculty of Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) invites applications for an Assistant Professor of Machine Learning in Digital Health (salary group W1