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relevant experience with polymer composites and polymer chemistry Knowledge of programming and statistics is desirable What we offer: Collaboration with national, international and multidisciplinary teams
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Developing innovative technology solutions and bringing them to application - that is our goal at the Fraunhofer Institute for Photonic Microsystems IPMS. With our expertise in the development
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campus close to the Mainz city center – creating a lively academic culture for researchers, teaching staff, and students from every continent. Faculty 02: Social Sciences, Media, and Sports / Institute
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5 Jun 2024 Job Information Organisation/Company Ilmenau University of Technology Research Field Communication sciences » Media studies Computer science » Informatics Computer science » Other
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 3 days ago
Job Code: 21-24 Job Offer from June 10, 2024 The Max Planck Institute for Multidisciplinary Sciences in Göttingen is a leading international research institute of exceptional scientific breadth
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the fields of acoustics, energy efficiency and indoor climate, holistic balancing, hygrothermics as well as building chemistry, building biology and hygiene. What you will do You will provide support in
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for Computational Biomedicine and the Institute for Pathology. Job-ID: V000012858 Field of application: Institute for Computational Biomedicine Location: Heidelberg Start date: 01.09.2024 Job Category: Science and
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The Institute of Sports Science at the University of Tübingen’s Faculty of Economics and Social Sciences invites applications for the position of a Assistant Professor (W1 ‘Juniorprofessur’, without
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possibility of a doctorate. What you bring to the table Master's degree in computer science, mathematics, physics, electrical engineering, or similar fields Excellent programming skills and meticulous work
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excellent degree (Master of Science or equivalent) in Machine Learning or a related field A solid theoretical foundation and practical experience in machine learning Experience in training and evaluation