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About the role We are seeking a full-time Postdoctoral Research Assistant to join the Numerical Analysis research group at the Department of Engineering Science (Osney). The post is funded by Rolls-Royce and is fixed term for 6 months with possibility of extension. Ice accretion is a serious...
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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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We are seeking a Postdoctoral Research Associate to support our projects to understand membrane evolution. The aim of this project is to use molecular dynamic simulations to understand membrane
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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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used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics
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of agent-based and/or continuum modelling, analysis and simulation. You will have experience of programming in Python and C++, or demonstrated ability to rapidly acquire fluent knowledge of new programming