878 computer-science-"https:"-"ESPCI-Paris---PSL" "https:" "https:" positions in Germany
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research group (please find further information at https://www.biologie.uni-konstanz.de/gruber ). You will be developing machine learning-based data science approaches for the analysis of Next Generation
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contributing to building an ambitious programme from the ground up. Job-ID: V000015284 Field of application: Zentrum für Infektiologie Location: Heidelberg Job Category: Science and teaching Working hours: full
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30 Jan 2026 Job Information Organisation/Company University of Greifswald Department Human Resources Research Field Information science Researcher Profile First Stage Researcher (R1) Positions
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30 Jan 2026 Job Information Organisation/Company University of Greifswald Department Human Resources Research Field Information science Researcher Profile First Stage Researcher (R1) Positions
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at international conferences and learn about state-of-the-art methods in machine learning, reinforcement learning and computer vision for the life sciences Your Profile: Excellent Master’s degree in engineering
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exclusively in German. Full-time / part-time full-time Programme duration 8 semesters Beginning Only for doctoral programmes: any time Application deadline Please look at our website for the current application
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. Where to apply Website https://www.academiceurope.com/ads/phd-position-m-f-d-computational-biology-sin… Requirements Research FieldBiological sciences » OtherEducation LevelMaster Degree or equivalent
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: Masters degree in electrical/electronic engineering, computer engineering, computer science, physics, or related fields Experience with emerging memory devices A strong electronics background, including
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part of a multidisciplinary, international, and dedicated project group that offers you a wide range of opportunities for personal and professional skill development. The LIN offers excellent
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Environment, SLICE will therefore develop a research and training programme that bridges the current divide between space engineering and climate science to close the gaps that exist in the Life-Cycle Analysis