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• Constrained experimental design • Combining models and combining data / Realistic simulation of clinical trials • Developing LLMs to utilise ODEs and ProbML as tools, Code
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period of up to 12 months in the first instance, with the possibility of an extension, subject to funding. The project entails the development of a kinetic Monte Carlo (KMC) framework for the simulation
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related area, prior to taking up the appointment. The research requires experience in statistical mechanics, and combined simulation/experimental studies of disordered systems. You will be expected
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simulation. You will be expected to manage your own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines
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Prevention Initiative (COPI). The successful applicant will develop the simulation model capabilities using the PRIMEtime structure to estimate the impacts of the suite of interventions being implemented in
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representations for robust localisation and scene understanding, curate and scale datasets for embodied learning, and transition algorithms from simulation to real-world robot systems. You will collaborate closely
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simulations, generalize experimental observations, and offer insight on the response of selected case studies. You should hold a PhD/DPhil (or be near completion) in numerical modelling for geotechnical
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on the electrosolvation force under development in the group. The planned investigations are primarily experimental in nature, but will proceed in close conjunction with insight from theory and simulations. The ideal
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applicant. Access to high-performance computing facilities and cloud-based quantum hardware will be provided to support simulation and verification of theoretical methods. About you The successful candidate
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& NCO & CDO, etc.), and have demonstrable expertise in the analysis of big data, and the interpretation of climate/weather observations/reanalyses and model simulations. Additionally, experience with