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-based methodologies for protein structure prediction and cofolding Machine learning guided virtual screening Taking on organizational tasks and writing grant applications Your Profile The ideal
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. For more information, please visit: https://www.ice.mpg.de/554039/signaling-dynamics https://www.hellmich-group.de/
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neuroimaging studies aimed at testing the EESR theory of learning-related plastic brain changes. Key responsibilities include designing neuroimaging studies of motor skill learning, overviewing empirical
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cooperation good knowledge of German or willingness to acquire good German language skills good knowledge of English The position offers opportunities for further academic qualification. For appointment as an
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are available here: https://www.cs.cit.tum.de/en/prog/open-positions/ Informal inquiries are welcome at [email protected]. The position is suitable for disabled persons. Disabled applicants will be given
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candidates, postdocs, relevant DAAD alumni, university faculty and partners, thereby forming an interdisciplinary and transdisciplinary community. This programme funds exchanges between scientists and
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: https://go.fzj.de/bmi.tvoed . The monthly salaries in euro can be found here: https://go.fzj.de/bmi.tvoed.entgelt . In addition to exciting tasks and a collegial working environment, we offer you much
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Postdoctoral Researcher in Semantic Knowledge Engineering & Interoperability in Materials Science in
Bundesanstalt für Materialforschung und -prüfung (BAM) | Berlin, Berlin | Germany | about 2 months agoScience, or comparable disciplines Berlin Vice President Science / Research Full-time / part-time possible Temporary contract until 31.05.2030 Job-ID: J000000163 E 13 TVöD Apply online now Salary group 13 TVöD Temporary
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University Hospital Essen, Collaborative Research Centre 1752 | Essen, Nordrhein Westfalen | Germany | 2 months ago
Excellent career development opportunities Access to cutting-edge multi-omics technologies Apply Detailed project descriptions and links to all official institutional job advertisements: https://www.uni
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. The PostDoc project is part of the “CoEvolve” research consortium, funded by the European Union through an ERC Synergy Grant. The goal of the project is to better understand and predict the co-evolution