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reinforcement learning, computational rationality and user modelling, and simulator-based inference. The post-holder will work on a project from Professor Kaski’s UKRI Turing AI World-Leading Fellowship. Research
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Type of award Studentship Value Fully Funded Studentships Specified use Please refer to the criteria on the BUDI website . Tenable period Ongoing Continuation of award Continuation of the award is subject to satisfactory progress. Number available This year, there are 50 studentships...
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Overall Purpose of the Job We are looking for an enthusiastic researcher with a PhD in statistical genetics, genetic analysis, bioinformatics or health data science or equivalent. The successful
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, analyse qualitative data, and help prepare summary reports and manuscripts for peer review publications. You will need to hold a PhD that includes training in qualitative research methods. You will have
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supervised by Prof. Peter Scott, Director of the Lincoln Theological Institute. Tenable period The award is tenable for 3.5 years from September 2025- covering the full PhD programme in PhD Religions and
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this project we will develop a novel experimental system that is complex yet tractable, enabling rich, coordinated multi-omics analysis coupled with computational modelling to deliver deep mechanistic insight
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in the UK. Applications are welcomed from individuals who hold a PhD in physics, chemistry, materials science or another related field and have experience in the development of ultra-high vacuum
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physiology. The successful applicant will have a PhD (or equivalent) in a relevant discipline, with experience of ex vivo physiology, in vitro experimentation and real-time measurements. The appointee will
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a PhD that includes training in quantitative research methods. You will have experience with handling, cleaning, linking and analysing routinely collected healthcare data. You will be experienced in
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as possible, and will focus on large-scale cardiac image analytics. Applicants should hold, or be about to obtain, a PhD (or equivalent) in physics, engineering, computer science or applied mathematics