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Field
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Responsibilities We are looking for a highly motivated Postdoc in the areas of Probabilistic Machine Learning and Neuro-Symbolic AI to contribute to the Cluster of Excellence “Bilateral AI (BilAI),” funded by
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(R1) Positions Postdoc Positions Application Deadline 7 May 2026 - 00:00 (UTC) Country Cyprus Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Jul 2026 Is the job
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enterprises (SMEs). The postdoc will work at the intersection of cybersecurity, machine learning, and human centered system design, contributing to the research on privacy aware monitoring, attacker modelling
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) Positions Postdoc Positions Application Deadline 31 May 2026 - 23:59 (Europe/Zurich) Country Switzerland Type of Contract Temporary Job Status Full-time Hours Per Week 40 Is the job funded through the EU
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photopolymerization. Specifically, the postdoc will work on PET-RAFT (Photoinduced Electron/Energy Transfer Reversible Addition-Fragmentation Chain Transfer) polymerization for the synthesis of degradable polymers
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Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 31 Dec 2026 - 12:00 (Europe/Bratislava) Country Slovakia Type of Contract To be defined Job Status Full-time Is the job
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Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc
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to PRIF's success. We are looking for a new colleague to join our team in Research Department I “International Security” as soon as possible: One researcher (postdoc) (m/f/d) in full-time, in Salary Group 13
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-mitolab.nencki.edu.pl/ or https://www.nencki.edu.pl/laboratories/laboratory-of-mitochondrial-biology-and-metabolism/ Where to apply E-mail postdoc@nencki.edu.pl Requirements Research FieldBiological sciences
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Artificial Intelligence in Higher Education, with a particular focus on STEM. Join our team at the Division of Engineering Education Research (EER), Department of Communication and Learning in Science (CLS