584 computer-programmer-"University-of-St"-"University-of-St" Fellowship positions in United Kingdom
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and insurance contributions. Interviews:We plan to hold interviews on 24th of July. If you are selected for a final interview, you will be asked to give a presentation. Details will be confirmed with
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September 2025, with an end date of 15th of June 2026. Your skills and attributes for success: A PhD or last year PhD student in Statistics, Operations Research, Computational Sciences or Economics
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of: ‘Outline a five year programme of research, to be pursued for the duration of the fellowship and a subsequent research grant, in the field of Modern British and World History’ We pride ourselves on being
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. Using our modelling frameworks which capture metabolic and gene expression constraints and recently benchmarked computational tools for systems identification and model calibration, you will develop new
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integration into 999 services. About you We are looking for someone who: Has experience in applied health, social care or emergency services research. Can plan and carry out data collection using qualitative
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, techniques or methods and ability to contribute to developing new ones Ability to assess resource requirements and use resources effectively Contribute to the planning and organising of the research programme
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collaborative research environment that exemplifies IDAI's distinct approach to interdisciplinary data science and AI research. Person Specification PhD (or near completion) in Computer Science, Data Science, AI
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sociology, demography, criminology, social and medical statistics, public policy, and social policy. The College particularly welcomes applications from candidates who work or plan to work in the field of one
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Are you an atmospheric scientist looking to apply your expertise to real-world forecasting challenges in Africa? Machine-learning has the potential to revolutionise weather prediction in Africa, and we are seeking a scientist who understands and enjoys challenges in atmospheric and climate...
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written and verbal communication skills, experience with developing and implementing Bayesian statistical models, and be proficient in computer programming in e.g. R or Python, and C/C++. Please ensure you