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1 Sep 2026 Job Information Organisation/Company Charité – Universitätsmedizin Berlin Research Field Computer science Researcher Profile Recognised Researcher (R2) Application Deadline 11 Sep 2026
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Postdoctoral Researcher in Semantic Knowledge Engineering & Interoperability in Materials Science in
Postdoctoral Researcher in Semantic Knowledge Engineering & Interoperability in Materials Science in the field of Materials Science, Physics, Computer Science, Data Science, Information Science
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Postdoctoral Researcher (m/f/d) in the field of Polymer Science or comparable Berlin Division 7.5: Technical Properties of Polymeric Materials Science / Research Full-time / suitable as part-time
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Veterinary Medicine, Biology, Biotechnology, or a related life sciences discipline. Completed doctoral degree (PhD, Dr. med. vet., Dr. rer. nat., or equivalent) in a relevant field. (Professional) Experience
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the results. You will work in an interdisciplinary team with several other research groups in Germany and abroad. Your Profile Completed PhD studies in physics, materials science or similar Excellent knowledge
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Berlin Social Science Center, Centre for East European and International Studies (ZOiS), and the Kiel Institute for the World Economy (IfW Kiel). The project ID 4 explores the consequences of liberal
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Job Offer from July 07, 2026 The Max Planck Institute for the History of Science (MPIWG) is an internationally respected research institute of the Max Planck Society (MPG) with currently two
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 2 months ago
Job Offer from August 06, 2026 The Fritz Haber Institute in Berlin is one of the most internationally renowned research institutes of the Max Planck Society for the Advancement of Science. More
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, materials science or an equivalent field of research Experience in ptychography and/or scanning transmission X-ray microscopy (STXM) and in computational phase reconstruction (ptychography/tomography
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the academic community Advising of student researchers What you contribute Ph.D. in Computer Science, Neuroscience, or similar program Background in Machine Learning and Computational Vision, ideally with