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Field
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9 Mar 2026 Job Information Organisation/Company Senckenberg Gesellschaft fuer Naturforschung Research Field Biological sciences » Botany Researcher Profile Recognised Researcher (R2) Positions
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science field Research background in experimental attosecond science Experience with X-ray techniques and/or FEL science is an asset Experience with ultrafast optical lasers is an asset For additional
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Neuroscience, Biology, Neuroethology, or a related field Strong experience with honeybees or insect model systems Background in learning and memory research Proficiency in Python (required) Experience with
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developing and characterizing the hybrid binder systems. The research integrates polymer science, composite engineering, interfacial mechanics, and chemical polymer design to eastablish a new binder type that
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25 Feb 2026 Job Information Organisation/Company Constructor University Bremen gGmbH Department School of Science Research Field Computer science Researcher Profile Recognised Researcher (R2
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for Future Thermoelectric Materials between the IFW Dresden and the Pohang University of Science and Technology (POSTECH) and it is expected that the candidate will spend part of the research time in Korea
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | 9 days ago
premier basic-research organization. Max Planck Institutes have an established record of world-class, foundational research in the sciences, technology, social sciences and the humanities. They offer a
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20 Jan 2026 Job Information Organisation/Company Deutsches Krebsforschungszentrum Research Field Medical sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 8 hours ago
Germany’s premier basic-research organization. Max Planck Institutes have an established record of world-class, foundational research in the sciences, technology, social sciences and the humanities
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adaptive systems that jointly optimize morphology and control for real-world physical interaction. Requirements Ph.D. in Computer Science or a related discipline. Strong background in Machine Learning