190 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" "FEUP" positions at Leibniz
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upload your CV and motivation letter, by February 15th , 2026 via the online application system: https://www.leibniz-inm.de/en/job-offers-2/ For further information on this position, please contact INM
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berufundfamilie") – employee ID card with free admission to municipal museums – annual special payment – collectively agreed vacation entitlement – company pension plan (ZVK). Senckenberg is committed to diversity
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The LIT - Leibniz Institute for Immunotherapy (foundation under civil law) (https://lit.eu ) – is a biomedical research center focusing on translational immunology in the fields of cancer
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, or comparable research contributions) Experience analyzing structure–property relationships in polymer and composite systems Ability to independently plan experiments and document results Strong written and oral
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admission to municipal museums – annual special payment – collectively agreed vacation entitlement – company pension plan (ZVK) Senckenberg is committed to diversity. We benefit from the different expertise
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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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networks are rewired in response to physiological or pathophysiological stimuli. The project will be conducted jointly with the 'Structural Interactomics Group' led by Prof. Fan Liu (https
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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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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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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