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to write material of a quality commensurate with publication in highly-ranked journals. · Demonstrable ability to present research findings at meetings or conferences and to communicate complex
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. • To develop and improve theoretical models of fluid dynamics, solid mechanics, soft matter or active matter. • To carry out analytical calculations in the context of theoretical models of fluid
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optimisation techniques and AI-based models to support decision-making in microgrid design and operation. Working in collaboration with a leading global mission critical firm of engineers, this project offers
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conferences and communicate complex information to specialists and within the wider academic community. Experience in developing engines and/or fuel cells models in GT-Power. Experience in using MATLAB/ Python
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healthy life. Similarities in the structural and molecular organization of the division apparatus in a variety of model systems give the impression that the mechanisms underlying division are shared between
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implementation of deep learning and computer vision frameworks across a range of research projects. This includes developing and training deep learning models for tasks such as scene understanding, object
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research papers at international conferences and communicate complex information to specialists and within the wider academic community. • Strong publication record in peer-reviewed journals
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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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Associate in Physical Chemistry Job Description: Chameleon Dyes: Circularly Polarised Luminescent Photography and Lanthanide Complexes for Advanced Intelligent Security Applications Counterfeiting is
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and PhD students. Research spans a wide range. Current interests include: Bayesian statistics; modelling of structure, geometry, and shape; statistical machine learning; computational statistics; high