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under-represented in Mathematical Sciences and strives to maintain an environment where people can be their authentic selves. You will be able to carry out duties to the highest standard and to evidence
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different ML architectures for postprocessing precipitation forecasts over India. Determine how to maximise information extracted from the raw forecasts and how to optimise postprocessing skill for heavy
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Undergraduate, Post Graduate Taught and Post Graduate Research (PGR) PhD and M.Res. levels aligned to a range of research activities. The GSA is an environment in which difference is encouraged and diversity
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: Sustainable natural environment Resilient and secure built environment Your role will be to conduct research in your area and to work collaboratively within at least one of the two research themes in
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researcher with a PhD in forest ecology or a related field, possessing strong field research skills, data analysis expertise, and the ability to work collaboratively in a multidisciplinary environment. You may
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graduates working in a field covered by one of the following Faculties of the University of Cambridge: Architecture, Asian and Middle Eastern Studies, History of Art, Human Social and Political Sciences
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university/spinout environment. This is a unique opportunity to work at the forefront of applied research and innovation, helping translate novel control algorithms and hardware prototypes into real-world
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the Sloan Foundation, in collaboration with Yale University, Northwestern University, UCL and Groningen University. You will work with Professor Gavin Morley and his team in Warwick. We have built
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predictions and to generate hydrological forecasts. The RF will be part of a research environment with strong ML activities. The post is mainly part of the project ‘HEavy Precipitation forecast Post-processing
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methods to generate complex conformational architectures relevant to sensing, catalysis, and materials science. Successful applicants will have responsibilities in designing, running and analysing synthetic