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Field
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for the Postdoctoral Research Associate, Advanced Nuclear Reactor and Fuel Cycle Engineer role. This role is responsible for working with state-of-the-art modeling and simulation capabilities for lattice physics
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simulations. Related fields with similar expertise will be considered as well. The incumbent will contribute to research that develops, analyzes and maintains both observational and numerical model data sets
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from human cochlear implant users with computational modeling and simulation. Research approaches will include electrophysiological recordings of auditory nerve responses, computational modeling and
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combustion and engine simulation, and AI-assisted modelling approaches for hybrid marine propulsion system development incorporating a range of decarbonisation technologies. This position is part of the EPSRC
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Machine Learning group at TDB and SciLifeLab (Associate Professor Prashant Singh), which develops methods and software for simulation-based inference, generative models and robust machine learning, together
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-dimensional variational (4D-Var) modeling with research involving sensors and autonomous vehicles. The work will address autonomy and path planning; use Observing System Simulation Experiments (OSSEs
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on the numerical and mathematical modelling of these complex atmospheric phenomena. This is a multifaceted research role that draws on mathematical modelling, high-fidelity numerical simulation, and close
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research in computational cardiovascular modelling for patient-specific digital twins, with an initial focus on blood-flow simulation and transcatheter aortic valve replacement (TAVR). The postholder will
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in large pre-trained models (vision-language models), generative models (flow matching, diffusion), simulation-based inference, and robust and active learning. The group has a wide network of
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ice, using a framework consisting of an ocean Large Eddy Simulation (LES) and a Discrete Element Model (DEM) of sea ice. Results from these simulations will be validated against a combination of in-situ