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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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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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. The project involves the study of disorder–property relationships and is funded by the EPSRC. Find out more about the Goodwin research and group here About you Applicants must hold a PhD in Chemistry or a
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. Iain McCulloch and is funded by the EPSRC. Find out more about the research group at: About you Applicants must hold a PhD in Chemistry, Physics or a relevant subject area, (or be close to completion
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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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hold, or are close to completing, a PhD in robotics, robot learning, or a closely related field. You possess strong expertise in deep learning and robot navigation, with hands-on experience in deploying
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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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with a PhD in Engineering (or close to completion) may apply. You will be responsible for: Design of the first reconfigurable robotic matter in collaboration with world-leading universities and
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to completion of a PhD or equivalent qualification in computational fluid dynamics or applied mathematics. What we offer At the university of Oxford your happiness and wellbeing at work is important to us. We
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via independent study and training courses. It is essential that you hold a PhD/DPhil (or close to completion) in mathematics, computational biology, physics or a related discipline, and have experience