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examining the intersection of environmental challenges and the just transition. This role is ideal for candidates planning to apply to top PhD programmes and looking for hands-on research experience on high
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, and Internet-of-Things / Industry 4.0 technologies. Knowledge of computer science principles and modern AI approaches in computer vision and/or time series analysis is a plus. The position requires
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Trust. The successful candidate will work closely with the PI and a PhD student within a larger cross-disciplinary team to construct a quantitative computational model of carbonate biomineralisation
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of Prof. Jake Harris, and Prof. David Baulcombe, who research related questions in plant epigenetics. Where a PhD has yet to be awarded the appointment will initially be at Research Assistant level (Grade 5
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computational biologists • Opportunity to contribute to high-impact publications • Career development opportunities, including support for enrolment in PhD programmes This post is for 1 year
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on the genetics of appetite and obesity. Candidates should be of postdoctoral level with relevant experience of canine or/and human genomics, or molecular biology. Candidates without PhD but significant expertise
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Overview This research assistant post will enable the candidate to undertake a PhD on the diagnosis of pancreatic cancer, specifically focusing on examining the use of imaging before a diagnosis is
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. The role is based in the Weston Library, Oxford, with up to two days of remote working per week by agreement with the line manager. About You You will have a PhD/DPhil (or have submitted a thesis) in a field
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FTE, 30 hours per week minimum) and is fixed term up to 31/03/2027. About You You will have extensive expertise in statistics, likely including a PhD, and experience and interest in working in
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in a relevant discipline, such as medical statistics, and practical experience applying research skills to deliver high-quality outputs within specified timelines. A PhD, or ongoing PhD studies, in a