162 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Washington University in St" positions at Nature Careers in Germany
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and Individualized Medicine ; https://curatime.org/ ) a Clusters4Future initiative funded by the German Federal Ministry of Research, Technology and Space (BMFTR), integrating RNA technologies
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research concept [2–3 pages], list of third-party funding, copies of certificates and degrees), preferably in English, online at https://berufungen.fau.de by April 1, 2026, addressed to the Dean
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(CV, list of publications, teaching concept [max. 1 page] and research concept [max. 3 pages], list of third-party funding, copies of certificates and degrees) online at https://berufungen.fau.de by
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the reference number 27697, via our online portal: Apply now via https://jobs.uksh.de/job/Kiel-PhD-%28mfd%29-Statistical-Genetics-Machine-Learning-Schl-24105/1279933701/ For more information visit: www.uksh.de
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application documents (CV, list of publications, teaching concept and research concept with max. 2 pages each, list of third-party funding, copies of certificates and degrees) online at https
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found here. The previous Mildred Dresselhaus Guest Professors: Prof. Dr. Teresa Pellegrino, Istituto Italiano di Tecnologia (IIT), Genoa, Italy (2025) Dr. Zala Lenarčič, Jozef Stefan Institute, Ljubljana
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allowance. The employment will initially be limited to three years. Important: Applicants must not have resided in Germany for more than 12 months in the past three years. Group website: https://biophys.uni
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) 13 TV-L FU reference code: ONEMuc-FluBind2 The collaborative project ONEMUC – Respiratory Mucus as a One Health Interface investigates how the composition and structure of mucosal barriers (mucus
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should be sent by e-mail, together with significant documents, indicating the reference code, no later than April 6th, 2026 in PDF format (preferably as one document) to Prof. Dr. Daniel Lauster
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of material behavior to the development of the material to the finished component. PhD position on physics-based machine learning modeling for materials and process design Reference code: 980 - 2026/WD 1