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postgraduate degree, ideally a PhD, in statistics, machine learning, or a related field. Experience of developing new statistical methods and a strong working knowledge of a statistical software package, such as
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laboratory. For informal enquiries about the project, please contact Prof Chris Holmes (christopher.holmes@soton.ac.uk ). To be successful you will have a PhD* (or equivalent professional qualifications and
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You will hold a PhD in a relevant discipline (and/or ideally equivalent research experience with children and young people). You bring proven expertise in participatory or youth-led research, with
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. You would be the day-to-day supervisor for two PhD students on this levitated microdiamond project, as well as helping to supervise undergraduate project students. Applications from underrepresented
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the essential criteria for the post, which includes: Have or be about to obtain a PhD in computer science, engineering, mathematics or physical sciences area. Recent high quality research experience in
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August 2025 Background To create and contribute to the creation of knowledge by undertaking advanced analysis and validation experiments within the MRC BioFlare research programme: Although outcomes in RA
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scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. The Department
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employment you will also work towards preparing for a PhD at the University of Leeds. This is an exciting opportunity if you are interested in pursuing radiology or interventional radiology as a career or to
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researcher with a PhD in forest ecology or a related field, possessing strong field research skills, data analysis expertise, and the ability to work collaboratively in a multidisciplinary environment. You may
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and supervision of research students, primarily at the undergraduate level. You may be a great fit if: You are a dedicated researcher with a PhD in forest ecology or a related field, possessing strong