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universities, the Helmholtz Association and Fraunhofer Society. Teaching language English Languages English (100%) Mode of study Less than 50% online Programme duration 8 semesters Beginning Winter semester
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. Programme duration 6 semesters Beginning Winter semester Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content
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energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics, engineering, mathematics or a related field of study Huge interest in data
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languages, artificial intelligence, and security, with a focus on tools and techniques for constructing reliable, efficient, and secure software. General areas of research include: Artificial intelligence
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identification of spider mite infestation foci and needs-based beneficial insect application in outdoor cucumber cultivation’, which is funded by the BMBF within the funding programme KMU-innovativ: Bioökonomie
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organisation Research programme: The research programme targets substantial progress on spatial data science, spatial intelligence, geospatial technologies, and situated computing. Consequently, the graduate
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is funded by the German Ministry of Research, Technology and Space in the scope of the Fusion 2040 programme. After reaching scientific gain in laser-driven ICF experiments at the National Ignition
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for Clinical Brain Research, German Centre for Neurodegenerative Diseases, Bernstein Centre for Computational Neuroscience, Centre for Mental Health, Centre for Neurosensory Systems, Natural & Medical Sciences
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new standards in computational metabolomics – facilitating biomarker discovery, advancing personalized health monitoring, and improving clinical decision-making. The work will be carried out under close
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is available from 01.11.2025. About us The Chair of Agrimechatronics (Prof. Oksanen) studies especially Intelligent Machines for Agriculture. The research themes include topics like tractors and other