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research and education in systems analysis, modelling and simulation, intelligent information systems, and software-intensive systems engineering. The Institute plays a key role in advancing data-driven
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effort of numerical modelling, both fluid (extended MHD) and particle oriented, are combined with high quality observations taken at ground-based and space-based observatories to produce models
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. Responsibilities Writing codes(C++, Python, MATLAB) and running simulations related to modeling complex disordered structures, troubleshooting, and refining codes. Working with the advisor in analyzing and
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focused on modeling and simulations of turbulent mixed-phase clouds. This interdisciplinary project encourages collaboration with experts in atmospheric physics. The successful candidate will contribute
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aspects pertaining to organizational design decisions relevant to firms operating in (technologically) innovative environments. We are agnostic to methods and pursue formally analytical, simulation-based
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transportation systems. Objectives: collaborate with first-cohort researchers to further develop and apply IAM-related simulations within the MATSim framework extend agent-based travel behavior modeling beyond
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datasets across broad chemical space Evaluate models through molecular dynamics, simulations, and benchmarks Active Learning in Configurational and Chemical Spaces Integrate uncertainty-aware MLFFs
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application! We are looking for a PhD student for sustainable and resource-efficient machine learning. Your work assignments Machine learning has recently advanced through scaling model sizes, training budgets
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) AI, and finally (iii) advanced modelling, simulation and optimisation techniques in a complex uncertain environment for the design of a SAADC. The working approach is based on four successive and
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About the Role Post-doctoral research associate in Modelling X-ray Spectroscopies for the Nuclear Fuel Cycle working with the Oakley group, Department of Chemistry, School of Natural Sciences