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International Max Planck Research School for Living Matter | Dortmund, Nordrhein Westfalen | Germany | 2 months ago
molecules to dynamics (IMPRS-LM) is a joint PhD program between the Max Planck Institute of Molecular Physiology , the TU Dortmund University , the Ruhr University of Bochum , and the University of Duisburg
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time Application deadline No application deadline Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The PhD
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programme (Grant Agreement number 101225682). The METAMIC 3 project will embed Doctoral Candidates in a unique training environment to advance microbiome science through metaproteomics. The network addresses
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. INDUSTRY COLLABORATION: Benefit from direct integration into a science-industry collaboration with practical relevance HIGH-PERFORMANCE COMPUTING: Leverage cutting-edge computational resources, including
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Your Job: Quantum computers will play a crucial role in the development and optimization of battery materials in the future. In this project, you will develop innovative quantum algorithms
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Description Experimental and computational projects available at the International Max Planck Research School for Sustainable Metallurgy (IMPRS SusMet) in Germany at the partner institutes Max
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01.10.2025, Wissenschaftliches Personal This PhD position is part of the interdisciplinary TUM GNI project AUROrA – AI-Driven Urban Flood Resilience: Integrating Earth Observation and Architectural
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the development of scientific networks in an international environment of the Göttingen campus and beyond. GAUSS provides the organisational and regulatory umbrella for this programme. It was founded in 2005 by
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
degree of independence and commitment Experience with machine learning and high-performance computing is advantageous, but not necessary Our Offer: We work on the very latest issues that impact our society