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wider research team. This role is primarily a computational modelling and advanced data analysis position, and it is essential for the postholder to have a PhD in computational neuroscience
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of Primary Care Health Sciences, Woodstock Road, Oxford, OX2 6GG as your normal place of work but you may be able to agree a pattern of regular remote working with your line manager. The position is funded
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Research and Professional Practice Programme, Faculty of Education, seeks to appoint a full-time Research Assistant/Research Associate in Adoption Research, Prevention Science and Quantitative Methods
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collaborative, interdisciplinary environment that brings together expertise in chemistry, physics, and computer science. Success in this role requires the ability to engage effectively with colleagues from
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the interface between experimental and computational biology. The successful candidate will generate and interpret long-read sequencing data; help optimise emerging approaches such as long-read ribosome profiling
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nursing services and rural coastal community healthcare settings. The role will involve leading the analysis of quantitative and qualitative data, writing papers and conference presentations. You will be
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velocimetry and planar laser induced fluorescence in two separate water facilities that generate gravity waves in flows stratified by using salt. Working with our colleagues at Durham, we will use your data
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be an integral member of the wearables group based at Oxford, led by Aiden Doherty. Our research team has access to world-leading population health data sets with objective wearable sensor measurements
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Engineering, Materials Science, or a closely related discipline. *Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant. Expertise in materials selection
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Hours of work: Part-time / 0.5 FTE Tenure: Fixed term for 12 months This is an exciting opportunity to contribute to a collaborative Engineering and Physical Sciences Research Council (EPSRC)-funded