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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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learning models to predict how materials break at the atomic scale. You'll create AI-driven simulations that reveal why tungsten, the leading fusion reactor material, transitions from ductile to brittle
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, Ultra-cold gases, quantum optics, and quantum information , ultracold quantum gases , Ultrafast Molecular Dynamics , Ultrafast Physical Chemistry , Ultrafast Science , Unconventional and topological
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, machine learning, molecular dynamics, and fluid mechanics. We aim to understand how chemical structure of precursors and process conditions affect film quality, helping design better materials and
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methods from building physics, you will bridge the gap between room-scale dynamics and micro-environments of documentary heritage objects, translating complex simulation data into actionable conservation
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Proficiency in at least one programming language (Python, C++, …) Keen interest in neuroscience is essential Experience with modelling, analysis of complex dynamical systems, simulation, analysis of large-scale
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behaviour, bridging the gap between molecular simulations and rheology. This interdisciplinary project will provide valuable insights into micellar dynamics, surfactant self-assembly, and nonlinear rheology
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descriptors to support machine learning model development to accelerate materials discovery: Perform high-throughput DFT and molecular dynamics simulations to investigate the thermodynamic, structural, and
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hybrid organic-inorganic glasses and compare their vibrational properties against each other as well as more established glass families. The project will complement molecular dynamics simulations with
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, and computational modelling. Depending on the interests of the successful candidate, different research directions, from quantitative genetics to molecular biology and computational modelling