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& robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven methodologies for learning control policies with provable guarantees
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the cervical spine. The findings will guide mountain rescue teams in equipment choice and best practice to enhance casualty outcomes and reduce the risk of post-rescue long-term disability. Aims: We have three
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. interviews, participatory creative workshops, data analysis, writing of academic publications). They will also support event coordination and the maintenance of project records and bibliographic databases
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, as well as for their babies. You will work with large, complex datasets from national surveys and routinely collected health data to support impactful research. You will manage your own research
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| £20780 + £2500 industry top up (per annum (tax free)) Overview This exciting, fully-funded PhD opportunity invites applications from candidates with a robust foundation in data science, modelling, and
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are most useful. Tropical, extra-tropical and post-tropical cyclones will be considered. To increase the usefulness of respective seasonal forecasts the project will focus also on the understanding
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are also available. And much more! To explore the post further or for any queries you may have, please contact: Dr Andrea Hollomotz, Associate Professor, School of Sociology and Social Policy Email
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research frontier in computer vision that combines three critical challenges: class imbalance, recognition of rare and unseen species, and dense labelling of high-resolution imagery. The candidate will
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PhD Scholarship aims to evaluate performance of current GRSs and optimise performance in Black men. The aim is to deliver data-driven evidence to guide future policy implementations of GRSs. The project
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dietary exposure risks to consumers. The research will involve method development using LC-MS/MS for toxin detection, sample collection, data analysis, and comparison of results against current safety