150 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" Postdoctoral positions in Germany
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in Computational Oncology (m/f/d, E13 TV-L, 100%) Position Details Start Date: negotiable, available immediately Duration: 3 years (initially) Working Hours: Full-time (100%) Salary: According
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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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-page motivation letter, contact details for reference letters) by December 15th, 2025. Please use our online application system - https://www.leibniz-inm.de/en/job-offers-2/ The INM practices an open and
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activities. ________________________________________ Candidate Requirements ✅ PhD degree in Engineering, Computer Science, Systems & Control, Statistics, Computational Physics, Computational Chemistry
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Researcher in Computational Linguistics / Cognitive Science (m/f/d, E13 TV-L, 100%) The position will be filled for a fixed term of three years. Payment is at 100% of pay scale E13. The position is associated
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applications for the department AG Dichgans on the 1st April 2026, in full time, for Postdoctoral Researchers in Vascular Biology, Neuroscience, or Computational Biology – CRC 1744-funded (m/f/d) Scope of duties
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writing. Drive the publication of research results in top-tier robotics conferences and journals. Requirements Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, or a
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applications for the AG Liesz on the 1st April 2026, in full time, for Postdoctoral Researchers in Trained Immunity, Epigenetics or Computational Biology – ERC funded (m/f/d) Scope of duties A postdoctoral
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information, please visit https://www.kmk.org/zab/zeugnisbewertung.html . By submitting your application, you consent to the processing of your personal data for the purpose of the application process. Our
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. In the ELUD research project, we address the question of if and when learning agents converge to an efficient equilibrium and when this is not the case. ELUD will design new algorithms for computing