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well as international collaborators to lead scientific projects on AGN identification, and measurement of supermassive black hole and host galaxy masses using imaging and spectroscopic data from ground and space. The
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software framework for the testing of age estimation technologies (AET) from facial images This is an exciting opportunity to contribute to cutting-edge biometric research at the intersection
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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