179 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Keele University" positions at Leibniz in Germany
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system: https://www.leibniz-inm.de/en/job-offers-2/ For further information on this position, please contact INM Scientific Director Prof. Dr. Aránzazu del Campo (aranzazu.delcampo(at)leibniz-inm.de
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January 2026 to (see button e-mail application below). https://jobs.zalf.de/jobposting/af3d771faf0a6dcc04a638f8f0d8f039bd501f6f0 If you have any questions, please do not hesitate to contact us: Dr. Ehsan
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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16 February 2026, to the Director of the GWZO, Prof. Dr. Maren Röger (Reichsstr. 4–6, 04109 Leipzig). Applications may be submitted via our career portal (https://gwzo.jobs.personio.de/ ) or by email
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Gesellschaft für Naturforschung Senckenberganlage 25 60325 Frankfurt a.M. E-Mail: recruiting(at)senckenberg.de If you have any specific questions about the position, please contact Prof. Dr. Thomas Hickler
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is successful. For further information, please visit the website: https://www.kmk.org/zab/central-office-for-foreign-education.html For further information or to discuss the position please contact Dr
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Frankfurt a.M. E-Mail: recruiting(at)senckenberg.de If you have any specific questions about the position, please contact Prof. Dr. Julia Sigwart at julia.sigwart(at)senckenberg.de . For data protection
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yield new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at leveraging graph-theoretic approaches to analyze and predict food-effector
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by the University of Hamburg. All further information on the application process and contacts can be found here: https://www.uni-hamburg.de/en/stellenangebote/ausschreibung.html?jobID
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yield new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at combining probabilistic machine learning methods with prior knowledge in