222 machine-learning "https:" "https:" "https:" "The University of Edinburgh" Postdoctoral positions in Germany
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and two reference contacts until the 15th of December online via (Shortlink to applyform) https://mtj.jobs/3322095 For further inquiries, please contact: sandra.schickinger@uniklinik-freiburg.de General
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information about working at the University of Potsdam at https://www.uni-potsdam.de/en/arbeiten-an-der-up/employer-up/overview For further information about this position, please contact Prof. Eva Eibl by e
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, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service positions (TV-L E13, 100
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between biodiversity and climate change. The postdoctoral position is embedded in the the collaborative project Past to Future: towards fully paleo-informed future climate projections (P2F; https
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 18 hours ago
for Demographic Research, Rostock This network focuses on “scientifically motivated engineering” to design, build, and test digital prototypes—such as machine learning models and large language models—that serve as
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contribute Completed an excellent doctorate in computer science Proven track record of excellent publications Expertise in cryptography and/or machine learning Leadership capabilities and ability to mentor
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applications will be considered until the positions are filled. Application Materials Required: Further Info: https://www.thep.physik.uni-mainz.de +4961313922407 Institut fuer Physik WA THEP Johannes Gutenberg
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its employees in reconciling work and family life and regularly undergoes the audit berufundfamilie® . Further information at: http://www.ifw-dresden.de . The Nanostructured Thin Film Materials (NTFM
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 3 months ago
information, see: https://www.demogr.mpg.de/go/work-family . In addition, there are a range of central initiatives and measures primarily geared towards helping young female researchers and mothers to advance
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the usual documents until 1/11/2026 on the application portal of the university using this link: http://obp.uni-goettingen.de/de-de/OBF/Index/76205 . For more information get in touch with Serena Müller