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the opportunity to work in this international environment with a team of employees committed to world-class science. The Nuclear Spectroscopy Department invites applications for a Postdoctoral Researcher in
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plan and capital-forming payments 30 days of vacation per year Flexible working hours Possibility of mobile work and part-time work Family-friendly working environment Sustainable travel to work
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | about 2 months ago
theoretical challenges that limit its translation to industrial applications. UnMySt brings together leading experimental and theoretical groups from four countries and aims to develop a comprehensive
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Friedrich Wilhelms-University Bonn invites applications for a full-time (38,5 h/week) Postdoctoral fellow (m/f/d) – Sterile Inflammation & Epigenetics The position is to be filled as soon as possible on a
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Extensive knowledge of X-ray methods Knowledge of synchrotron science Knowledge of catalysis a Experience in energy storage Experience with programming languages (ideally Python), SPS controls system Fluent
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 2 months ago
Job Code: 395 Job Offer from June 26, 2025 The Max Planck Institute for Astronomy (MPIA) in Heidelberg invites applications for up to three postdoctoral position to work on topics related to ISM
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Friedrich Wilhelms-University Bonn invites applications for a full-time (38,5 h/week). Tasks: We are seeking a highly motivated postdoctoral fellow to conduct research on fundamental aspects of innate immune
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training, evaluation and application Lead or co-lead peer-review publications stemming from the project achievements Cooperate with project partners from the Zittau/Görlitz University of Applied Sciences in
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that have already been verified or from people with an equivalent status will be particularly welcomed. Your application should contain a CV, a publication list and a research plan that fits the research
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machine learning methods in the context of biological systems Experience with programming (e.g., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted