54 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" uni jobs at Leibniz
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methods, and/or computer science specifically panel surveys and machine learning Excellent knowledge of English and good knowledge of German The ability to work in interdisciplinary and multi-local teams We
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complete list of publications, one-page motivation letter, at least two letters of reference) by March 15th, 2026. Please use our online application system via https://www.leibniz-inm.de/en/job-offers-2
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with institutes and working groups at Geisenheim University is a prerequisite. For further information, see https://www.zalf.de/de/struktur/iat . Tasks: We are looking for an internationally renowned
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transdisciplinary research at the interface between science and society are therefore desirable. The ability to publish and teach in German and English, as well as in a disciplinary and interdisciplinary manner, is
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two letters of reference) by January 31st , 2026. Conveniently use our online application system: https://www.leibniz-inm.de/stellenangebote/ The INM is an equal-opportunity employer with a certified
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the reference #01-25068-1 by 6 March 2026 or apply online, using the application form on our website https://www.senckenberg.de/en/career/apply-online/ Senckenberg Gesellschaft für Naturforschung
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below) . For e-mail application, create a single PDF file and send it to tenuretrack(at)zalf.de stating the reference number T01-2026. https://jobs.zalf.de/jobposting
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, 2026. Further information is available online at https://www.uni-potsdam.de/berufungen. According to the Civil Servants Act of the State of Brandenburg (“Landesbeamtengesetz”), an inquiry must be made
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regulations. Further information on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz . The closing date for applications is February 2, 2026. Please apply
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, please contact: Dr. Hamed Sabzalipoor, h.sabzalipoor.leibniz-lsb(at)tum.de . More information on the working group can be found here: https://www.leibniz-lsb.de/en/research/research-sections/section-i