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Field
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will need good communication skills, and will be able to work with and disseminate information to both academic and non-academic audiences. You will have a PhD in medical or bio-informatics, epidemiology
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for success: A PhD awarded in a relevant discipline (e.g. law, social sciences, history, science and technology studies, empirical bioethics or other relevant fields engaging with qualitative research and law
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helping to write publications, present at conferences and regular team meetings Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline
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students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods as appropriate Undertake management
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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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. 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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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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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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, 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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. Postdoctoral Fellows are expected to lead their own projects, contribute to other projects on a collaborative basis (both in the lab and with external collaborators) and guide PhD students in their research