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wall polymers. This will involve the implementation, execution and analysis of advanced molecular simulations, the use of machine learning techniques and deployment on state-of-the-art high performance
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the same genetic material generate markedly different cells, and how this information is encoded within the genome. We utilize stem cells and cancer model systems, though projects range across disciplines
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(laser, X-rays, electrons, ions, etc.). It accounts for the hydrodynamic evolution of fluid or solid materials (including mechanical effects), energy deposition of different types, thermal conduction
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or synthetic network modelling. Experience in converting or interfacing models between different simulation tools. Experience in contributing to courses and training. TU Delft (Delft University of Technology
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stimulating multidisciplinary research environment focused on regulatory mechanisms that enable cells to retain their identity.We employ Drosophila and human cell culture models, genomics, genetics and
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focuses on the development of GPU-accelerated, high-fidelity thermal runaway simulation models for lithium-ion battery cells, modules, packs, and complete battery systems. Thermal runaway is a chain
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intracellular bacterial pathogen Chlamydia trachomatis maintains its intracellular niche and modulates host cell biology. The employment is full-time for two years with access on 1 Nov, 2026 or by agreement
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problems in bioinformatics. This project is part of the Faculty of Science's new Quantum Simulation for Molecular and Material Design (Q-MMD) programme. You will join a growing interdisciplinary team at
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are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words
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single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative