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Field
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position within a Research Infrastructure? No Offer Description We are looking for highly motivated Postdoctoral Researchers in Battery Modelling and Multiphysics Simulation to develop a modelling framework
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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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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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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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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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systems incorporating both experimental work and numerical simulation or modelling. Experience in plasma source development, plasma diagnostics, reactor optimisation or analytical chemistry would be
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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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climate models, and (3) assess the impact of turbulent mixing on the Arctic Ocean state. The PDRA(s) on this project will, together with the PI and her collaborators, develop theoretical models (e.g
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microwave circuits, antennas and antenna systems for CubeSat and related space applications. Undertake full-wave electromagnetic simulation and numerical modelling of microwave and antenna components using
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, optomechanics/nanomechanics. You have or are about to obtain a PhD in at least one of the following areas: nano-mechanics/nanoelectromechancics, OR multi-physics modelling (numerical simulations, e.g. matlab