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prospective students throughout their journey, from initial enquiry to application. The ideal candidate will have excellent communication skills, keen attention to detail, and the ability to manage multiple
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of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet and glacier models, based on large ensembles
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-holder will contribute to the successful delivery of a complex, multi-stakeholder research programme by: Coordinating and supporting empirical research projects across multiple military sites in the UK
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sustainable, high-performing services into the live portfolio. Your role will coordinate multiple interdependent workstreams, from infrastructure and platforms to skills and cultural adoption, ensuring
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-fostering prototypes through co-design with children, creating evaluation frameworks to assess children's algorithmic agency in educational contexts, and establishing design principles that prioritize
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to) fundamental research in machine learning or statistics, algorithm design, the application of AI methods in science, healthcare, social sciences, or business. You should have a PhD or equivalent level of
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the best performance from the CCD during the SMILE mission lifetime. Support the analysis of the SMILE CCD radiation damage studies and support development of radiation correction algorithms for the SMILE
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of existing image analysis software and generation of bespoke algorithms for advanced image analysis. This will typically require coding expertise in languages such as MATLAB, R and/or Python and familiarity
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are essential, along with the ability to meet multiple deadlines effectively. You will also demonstrate and model professional behaviours, setting high standards for collaboration and service excellence
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of rail with wider city and regional transport networks. A focus of this work is the application of optimisation techniques (e.g. evolutionary algorithms, or Bayesian techniques) to identify high performing