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knowledge in a way which develops new intellectual understanding Disseminate research findings for publication, research seminars etc Supervise students on research related work and provide guidance to PhD
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: Candidates should have a PhD in a relevant field and experience or demonstrable interest in working as part of a research team. You will be at a relatively early stage of your academic careers. Funder
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: Candidates should have a PhD in a relevant field and experience or demonstrable interest in working as part of a research team. You will be at a relatively early stage of your academic careers. Funder
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, including research seminars and conferences. Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline. Undertake management/administration arising
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interdisciplinary and mixed methods approaches. You will support the University&©s goals in driving research development and enhancing research capacity locally and globally. You will have a PhD in global health or a
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qualifications PhD (or near to completion) in relevant subject area (structural biology or biophysics) Informal enquiries can be made to Professor Teresa Carlomagno, email: T.Carlomagno@bham.ac.uk To download
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University of Hull. The successful candidate should have: PhD degree (or close to completion) in materials science and engineering, manufacturing or other suitable engineering disciplines. Research experience
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of senescence and fibrosis on a cellular level within diseased human heart tissue. Your skills and attributes for success: A PhD or equivalent professional qualification and/or experience in the field
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of the research group, including mutual assistance with research activities, and with external partners outside University of Hull. The successful candidate should have: PhD degree (or close to completion) in
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to have the following skills and experience: Essential criteria PhD qualified in relevant subject area Extensive experience working in bioinformatics with large datasets Previous experience in statistical