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, brain science, and neuroscience); data science and machine learning; modeling, analysis, simulation and prediction for biological, engineering, physical and quantum systems; probability theory and
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nuclear structure models, and to understand how elements heavier than iron are formed in explosive stellar environments. The current project is closely related to the research activity “Nuclear Properties
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in hydro-geochemical research, including fieldwork, modelling and data analysis of freshwater aquifers, brines, and/or wetlands. Experience with reactive transport simulations. Publication record
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related orthopaedic trauma. In particular, contemporary cell / molecular biology in vitro approaches as well as clinically relevant small and large animal models of orthopaedic trauma are utilized
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well as of the cyclone family itself. The candidate will investigate the mechanisms by which moisture is drawn into and processed within cyclone families using reanalyses, idealised and realistic model simulations
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: WRF-Hydro, Advanced Terrestrial Simulator (ATS), Stormwater Management Model (SWMM), and/or Hydrologic Engineering Center – River Analysis System (HEC-RAS). The appointee is expected to carry out
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models for treatment discovery and patient-specific decision support. Gain experience in translational research across clinical, academic, and technology domains. Participate in lab initiatives aligned
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devices, and edge computing platforms. Deploy machine learning models to enhance process control and system responsiveness. Collaborate with industry partners to identify research challenges, co-develop
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, to simulation, to fabrication, to control. Researchers in AI^2 tackle major challenges in science and engineering, such as containing plasma in fusion reactors, revolutionizing material design and
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of this position is to develop a massively parallel version of a computer code called Commander, and apply this to archival data from Planck HFI, new data from Simons Observatory, and simulated data from LiteBIRD, a