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interdisciplinary, and together we contribute to science and society. Your role Multi-omics data integration and workflow improvement Development and application of machine learning-based algorithms
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. Activities of the successful candidate: Conduct extensive background literature analysis. Plan and organise experiments to define and test hypotheses and develop forefront research. Publish the results
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group focuses on developing strategies and algorithms to quantity biologic effects of particle radiation based on underlying physics, biology and physiology. Within the BMFTR funded project “BIOMICRO
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Robotisation (PROMAR) group, headed by Matthias Rupp. The group develops fundamental and technological expertise in machine learning for materials science, including data-driven accelerated simulations and
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for Ion Nano-Analytics (AINA) group at LIST, a research team specialized in mass spectrometry. AINA combines expertise in instrument development, nano-analytical techniques, and methodological innovation
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on the fast-developing expertise in multi-disciplinary forest research in Luxembourg, LIST, in collaboration with the University of Luxembourg and the Luxembourg Institute of Socio-Economic Research, has formed
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access to international research networks dedicated and structured supervision comprehensive training and mentoring program free use of public transportation in Hessen (“state ticket”) We actively support
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) Data-driven materials development, and (10) Advanced materials analysis technology. R25-12 Materials Science R25-13 Materials Science (for women) - Researcher [Field specified]: one position for each
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proposed starting time is Autumn 2025, with room for flexibility. The appointment will be made at a competitive salary and will follow the PhD study programme at the Faculty of Science . The Department
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team! Your personal sphere of influence: The Konrat lab is developing NMR spectroscopy methods for structural cell biology and is looking for a PhD student to join the team. The employment duration is 3