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Your Job: This project uses numerical simulations to determine the relative importance of the presence of interstellar objects (ISOs) in the interstellar medium. Specifically, the various formation
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components. To strengthen our research group Molecular Modeling / Section III, we are currently looking for a committed PhD Student (m/f/d) to start on 15/01/2026. The position is part-time (TV-L 13, 65%) and
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PhDGermany Find your suitable PhD opportunity in Germany. Find your suitable PhD opportunity in Germany. Back to Overview Working LanguageEnglish LocationJülich Application Deadline07 Nov 2025
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Karlsruher Institut für Technologie (KIT) | Karlsruhe, Baden W rttemberg | Germany | about 2 months ago
) simulations will also be performed for the investigations. Furthermore, machine learning can be tested to accelerate MD simulations. In this project, you will be responsible for the following tasks in
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. The research group Molecular Modeling / Section III are currently looking for a committed PhD Student to start on 15/01/2026. PhD Student (m/f/d) The Leibniz Institute for Food Systems Biology at the Technical
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simulation and inversion Opportunities to being part of the national and international scientific community PhD students are encouraged to attend international conferences and a three months research stay
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Infrastructure? No Offer Description Work group: JSC - Jülich Supercomputing Centre Area of research: PHD Thesis Job description: Your Job: This project uses numerical simulations to determine the relative
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About the PositionWe are pleased to invite applications for a 4-year PhD position at the University of Hong Kong (HKU) and at the Max Planck Institute for Demographic Research (MPIDR). The position
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to world-class science. In cooperation with the Johannes Gutenberg-Universität Mainz the LINAC department offers a PhD student position (all genders) in Accelerator Physics Reference number: 25.141-6680
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processes that produce energy and raw materials. The Department of Thermodynamics of Actinides is looking for a PhD Student (f/m/d) - Machine Learning for Modelling Complex Geochemical Systems. The job