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essential. Experience with MATLAB or Python computer programming for neuroimaging data analysis is essential. Experience in MRI and/or EEG acquisition and analysis is desirable. Experience working on research
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researchers and PhD students, pursuing research in many aspects of field theory, string theory, and integrability (for more information, see www.hw.ac.uk/uk/schools/mathematical-computer-sciences/research/maths
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research programmes. You will have the ability to identify research objectives and to carry out appropriate research activities within a given timescale, demonstrating the ability to work co-operatively with
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will plan and conduct experiments, generate high-quality data, prepare publications, make presentations and help supervise associated PhD students. The successful candidates will join large, supportive
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excellent computational skills. The post is attached to Prof. Eric French's Montague Burton Professorship. The research aims at exploring and understanding the drivers of medical spending, and how medical
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techniques. Motivated and hard-working. Ability to integrate with colleagues, work as part of a team and undertake share of group tasks. Able to carry out learnt techniques unsupervised. Able to plan and
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research programmes. You will have the ability to identify research objectives and to carry out appropriate research activities within a given timescale, demonstrating the ability to work co-operatively with
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explores novel aggregation methods at the intersection of AI safety, computational social choice, and judgment aggregation, aiming to formally integrate multi-stakeholder preferences into AI system design
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the starting date is negotiable. The current funding is guaranteed from the Montague Burton Fund. We are looking for a candidate who is a health economist with excellent computational skills. The post is
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skills and knowledge of biodiversity to plan and lead research on how biodiversity change is unfolding in the Anthropocene. This project will assess and analyse existing biodiversity and ecological data