83 programming-"the"-"DAAD"-"UCL"-"U"-"SciLifeLab"-"IMPRS-ML"-"P"-"BioData"-"BioData" "Prof. Dr" positions at Nature Careers
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encourage applications from women and candidates with disabilities, who will be given preference in cases of equal qualification. Appointments are made solely on merit. Contact for Informal Inquiries Prof. Dr
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the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome. Contacts for further information Prof. Dr. Thomas Günther-Pomorski Tel.: +49 234
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on this professorship, please contact the chair of the appointment committee, Dean Prof. Dr. Schoof, by email (aei-dekan@uni-bonn.de ). Applications submitted by January 31, 2026 are guaranteed to be considered. Please
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contact the chair of the appointment committee, Dean Prof. Dr. Schoof, by email (aei-dekan@uni-bonn.de ). Applications submitted by January 31, 2026 are guaranteed to be considered. Please apply via our
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be addressed to the Dean’s Office of the Faculty of Biological Sciences. For questions about the position and the procedure, please contact Prof. Dr. Axel Brakhage (axel.brakhage@leibniz-hki.de
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focus on healthcare, research, and teaching, we bear a unique responsibility. The position is linked to the research group of Prof. Dr. Guiscard Seebohm (IfGH-Cellular Electrophysiology and Molecular
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events, cafeteria, and emergency childcare For inquiries, please contact: Univ.-Prof. Dr. Cornelius Faber, faberc@uni-muenster.de Apply now via our career portal until January 7, 2026. Please include a
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summary of teaching experience, a research summary, and a forward-looking research proposal. Applications should be addressed to Prof. Dr. Elmar Schiebel, Head of ZMBH, and sent no later than 18.01.2026 by
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to 1st of February 2026 Contact person in line-management For further information, please contact Prof. Dr. Markus Garst, email: markus.garst@kit.edu Canditature Please send your application with
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Clinical Cooperation Unit (headed by Prof. Dr. med. Johannes Betge) aims to identify cancer vulnerabilities and uncover mechanisms of treatment resistance by using patient-derived cancer models and high