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Field
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. Person Specification PhD (or near to completion or equivalent experience) in a relevant field, including statistics, mathematics, computer science, epidemiology. Strong mathematical and quantitative skills
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to teaching activities and provide support to PhD students and research assistants in the programme. You may be a great fit if: You are a skilled statistician with a PhD in statistics, applied mathematics, or a
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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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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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, Economics, Mathematics, Statistics, Operational Research or a similar quantitative discipline. For those applicants wishing to pursue further academic accreditation, the Department can support PhD by prior
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make presentations at conferences and other events. Applicants will possess a relevant PhD or equivalent qualification/experience in a related field. The successful applicant will be a nationally
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over India with Machine Learning’ (HEPPI-ML), which is funded through the ‘Weather and Climate Science for Service Partnership ’ (WCSSP) programme. It is also linked to the National Institute for Health
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Stipendiary: 4 years fixed term Stipend: £32,428 (with a PhD) or £26,376 (without a PhD) The College invites applications for a stipendiary Junior Research Fellowship in specified areas
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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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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