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The Role Applications are invited for a Postdoctoral Research Associate position in the Department of Engineering, with a focus on digital twin modelling for marine engines and propulsion systems
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investigate the "Solar wind outflow and open flux". Candidates with a strong track record in solar magnetic field modelling, and/or familiarity with solar observational data, are particularly encouraged
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in designing and operating combustion test rigs; developing analytical engineering models using CONVERGE or other CFD tools; and conducting experimental studies in a mechanical engineering laboratory
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. This includes developing and training deep learning models for tasks such as scene understanding, object detection, segmentation, classification, and pose estimation, as well as integrating these models into real
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Prof Anuj Srivastava (Florida) and their teams. The project concerns methods for the statistical modelling of shapes changing in time, and involves mathematical and statistical techniques from
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: To classify integrable field theories, including those appearing in string theory. To uncover the universal algebraic structures of integrable models. To construct new integrable instances of gauge/gravity
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investigator and will be modelling and testing materials we produce. The successful applicant will be expected to lead the wet chemistry nanoparticle and nanoscale coating work (synthesis and characterization
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into algorithms for the Lov sz Local Lemma and related problems in distributed and parallel models. Research will primarily be conducted in collaboration with Dr. Davies-Peck, but successful applicants will also be