58 machine-learning "https:" "https:" "https:" "https:" "The Open University" uni jobs at Leibniz
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further both professionally and personally in an interdisciplinary setting. Position DWI is looking to fill the position as soon as possible: Research Scientist Machine Learning Engineer - AI-Powered Image
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and infrastructure facilities of the Leibniz Association . The DPZ’s Primate Data Science (PRIDAS) platform seeks a position for Data Scientists – Computer Vision (m/f/d). The position is suitable
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’ political preferences identified through content analysis (https://manifestoproject.wzb.eu ). The WZB Berlin Social Science Center is a publicly funded research institution that conducts cutting-edge theory
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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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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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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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information please contact: Prof. Fan Liu; e-mail: fliu@fmp-berlin.de . Homepage FMP: http://www.fmp-berlin.de How to apply: On the FMP homepage please go to “https://leibniz-fmp.de/job-opportunities ” and
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of personal data can be found at: https://www.isas.de/en/datenschutz . The closing date for applications is January 1, 2026. Please apply via our applicant portal . If you have any questions (reference number
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to receiving your application with the usual documents (cover letter, curriculum vitae, certificates) by 18.01.2026, preferably via our online application portal. https://www.museumfuernaturkunde.berlin/en/jobs
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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