32 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Washington University in St" PhD positions at Nature Careers in Germany
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applicants in accordance with European and German legal regulations. Further information on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz . The closing
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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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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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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
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engineering, fluid dynamics, 3D CAD, electrical engineering) Coding skills (Python) Your Benefits Competitive compensation and cenefits: In addition to the collective wage agreement under TV-L (classification
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, research, and teaching, we bear a unique responsibility - ideally with you on board! The position is located in the research group of Dr. med. Alexander Busch, PhD and embedded in the DGF-funded
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Job Id: 11899 Fixed-term (3 years) | Part-time (65%) | Salary according to TV-L E13 | Department of Neurology (Chair: Prof. Dr. Dr. S. Meuth) We are UKM. We have a clear social mission and, with
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scientists and, therefore, especially encourages them to apply. Contact details Prof. Dr. Gianni Panagiotou | +49 3641 532-1759 Applications Leibniz-HKI is proud to be an equal opportunity employer and
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located in the research group of Dr. Johanna Raidt (clinician scientist working in paediatric pulmonology with specific focus in motile ciliopathies, including male and female infertility), and embedded in
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such as sports programs, job ticket, company events, cafeteria, and emergency childcare For inquiries, please contact: Univ.-Prof. Dr. Markus Missler, T +49 251 83 50200, Markus.Missler@uni-muenster.de