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candidates with interests in multiscale simulations of complex physical phenomena, from the atomistic/electronic scale to mesocopics and beyond. Of particular interest is the development and
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do this, the postdoctoral researcher will combine machine learning, molecular dynamics simulations and high performance computing (Isambard AI). Applicants must have a PhD in an appropriate area of
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, providing the opportunity to tackle a fundamental research problem collectively in a team. The post-doc will join the BioMMedA group to perform theoretical and computational research using simulations at the
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techniques, including classical molecular simulations at different levels of resolution and the development and application of neural network models, including generative modeling approaches. Candidates
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are looking for a Research Associate to conduct numerical modelling
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capable of high-resolution, real-time imaging. This involves advanced computational modelling, optical simulations, and experimental characterisation of metasurfaces. The successful candidate will join
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consistent with observational constraints. The successful candidate will apply these conditions in numerical geodynamic simulations using the StagYY software (Tackley, 2008). The aim will be to identify
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experimental work, simulations and theory form a significant part of the team's activity, and the postdoctoral researcher can contribute to: • FLASH 2D/3D magnetohydrodynamic simulations, including
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the investigation of colloids and interfaces in food science and pharmacy ( https://pharmacy.ku.dk/research/caiff/ ). Expected start date is 1 January 2027 or as soon as possible thereafter. The
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-learning accelerated simulations to predict the self-assembly of molecules on materials surfaces and the formation of materials interfaces in hybrid (organic-inorganic) materials for sustainable energy