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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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Planck Institute for Chemical Ecology in Jena carries out fundamental research on how organisms communicate with each other via chemical signals. We analyze ecological interactions with molecular
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Reference Number: 11180 Fixed-term of 3 years | Part-time with 65% (25 hours/week) | Salary according to TV-L EG13 | European Institute for Molecular Imaging We are UKM. We have a clear social
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Karlsruher Institut für Technologie (KIT) | Karlsruhe, Baden W rttemberg | Germany | about 2 months ago
-to-olefins, syngas-to-olefins) involve the production of hydrocarbons from renewable raw materials. In addition to periodic density functional theory (DFT), ab initio methods and molecular dynamics (MD
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Your Job: The overarching goal is to implement a code for multiscale quantum mechanics / molecular mechanics (QM/MM) molecular dynamics simulations using a Quantum Centric Supercomputing (QSC
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interdisciplinary PhD projects in the Simulation and Data Lab Digital Bioeconomy. Each project combines natural sciences with computational and data-driven approaches, focusing on topics such as plant carbon
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investigates how the gut microbiome shapes cognition and neuroinflammation during menopause, with a strong emphasis on computational modelling. We will reconstruct and simulate microbial metabolic networks
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of double-strand breaks, copy-number alterations, and other structural genome changes. Our group combines cutting-edge genome biology approaches with quantitative, multi-omics analyses to uncover
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Are you passionate about cutting-edge fundamental research on molecular and 2D materials heterostructures? Are you looking to pursue your PhD in an excellent, interdisciplinary research environment
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the formation of double-strand breaks, copy-number alterations, and other structural genome changes. Our group combines cutting-edge genome biology approaches with quantitative, multi-omics analyses to uncover