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comprehensive risk assessments. About you You don't just understand infrastructure - you've mastered it. You have a proven track record at a senior level in complex, large scale environments and a passion for
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the ‘Accurate projections of climate recovery from a combination of historical data, simple models and AI’ Future Leaders Fellowship project, which seeks to develop new modelling methods that combine historical
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(ICU) to the home, improving quality of care and breaking down boundaries between hospital, community, and the home. The CCRG group specialises in analysing large datasets of routine healthcare data
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exceptional opportunity for a well-qualified and talented individual to play a leading role in a large interdisciplinary and cross-institution project. AI.RDN+ is unique in its aim to be at the forefront
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connections with the large community of statisticians across King's health faculties. This collaborative network provides excellent opportunities for professional development and knowledge sharing. This role
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Closing Date: 23.59 hours GMT on Sunday 14 December 2025 Interview Date: Wednesday 07 January 2026 Introduction Birmingham City University is a large and diverse learning community with over 30,000
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, please contact HR (recruitment@dow.cam.ac.uk ) if you wish to receive this advert and role profile or an application form in a different, accessible format, e.g. large print. For further information or in
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these changes to make predictions from large scale remotely sensed data (such as satellites). This approach also allows the natural landscape variation to be used as a proxy for climate-driven tundra change
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manipulation and analytical skills using Python and basic ML libraries Experience of developing business UG and PG modules in areas of data analysis, Big Data, AI applications and machine learning. Industry
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structures of these complexes, using the latest approaches at all stages, including making grids, data analysis and model building. Applicants must have a PhD (or equivalent experience) with a strong