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toward IgG substrates. Computational insights will guide the design of chimeric glycosyltransferases that incorporate Fc-binding domains to achieve proximity-driven enhancement of glycan processing
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process. For further information including key benefits designed to help maintain and support employees' well-being and work-life balance, please see our working with us website pages.
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application of innovative Machine Learning (ML) frameworks to understand and predict the global hydrological cycle. The role will require bridging the gap between process-based physical modeling and scalable
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of working with large gridded geospatial datasets. They will focus on designing approaches to process and utilise such datasets in population modelling and integrate them into WorldPop’s workflows to construct
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designed to fulfil the requirements for an out-of-programme experience for a specialist trainee in oncology, haematology surgery, pathology or any other disciplines related to cancer, but may also be
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will lead the natural language processing and language modelling aspects of the project, focusing on how sensor-derived motion data (from radar) can be transformed into linguistically meaningful BSL
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surgery, pathology or any other disciplines related to cancer, but may also be suitable for an individual who does not yet have a national training number and wishes to pursue a career in the cancer field
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System Models) to isolate and evaluate the role of individual processes. You will also assess how climate variability and extremes, including changes in the probability of high-impact events, are altered
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the two-micron wavelength band to the kilowatt regime motivated by the needs of applications such as industrial laser processing. The project will involve close collaboration with other members of the HiPPo
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/j.actaastro.2023.07.047, and 10.1016/j.actaastro.2023.01.033). The research will make use of our identified methods to adjust Hall thruster designs for operation with alternative propellants, that we have