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We are looking for an adventurous researcher to explore Monte Carlo methods for radiation transport (as part of the EPSRC grant, MaThRad). The Cambridge Nuclear Energy group is developing a modern
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We are looking for an adventurous researcher to explore Monte Carlo methods for radiation transport (as part of the EPSRC grant, MaThRad). The Cambridge Nuclear Energy group is developing a modern
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Sequential Monte Carlo Methods for Bayesian Inference in Complex Systems Department of Automatic Control and Systems Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application
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, with a relevant PhD is desirable: Interacting particle systems for Monte Carlo methods and rare event simulation Statistical physics for transport modelling Branching structures and or stochastic
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multiple expert elicitation. PINCODE aims to address the challenges in such pooling inference, with implementing either exact or asymptotically exact Monte Carlo algorithms. The project is a collaboration
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, privacy settings, meta-analysis and multiple expert elicitation. PINCODE aims to address the challenges in such pooling inference, with implementing either exact or asymptotically exact Monte Carlo
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improvements of the e+e- to hadron cross section measurements which are underlying the SM prediction require Monte Carlo generators with accurate radiative corrections, beyond what is currently available
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simulations techniques such as molecular dynamics and/or Monte Carlo simulations. The project will initially be expected to focus on diffusion and solubility of gases in model polymers, though other material
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simulations (i.e., molecular dynamics and/or Monte Carlo methods) or liquid state theory (e.g., classical density functional theory) is highly desirable. Potential topics of research include: Understanding
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and/or OpenMM. Experience in developing coarse-grained models, polymer models, and/or in developing and applying Molecular Dynamics and/or Monte Carlo simulations to biomolecular systems or condensed