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, 2) design and evaluation of technology to reduce the carbon footprint of the health and social care system. Qualifications/ experience: PhD in in a subject relating to health services research
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existing therapies. About You This project would be suitable for an individual with a PhD in immunology, cell biology, metabolism or related area. Candidates should have expertise in a range of cell biology
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used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
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Do you have a PhD in HCI, Computer Science, or Related? Are you Interested in innovating interactive technologies to help #MakeNormalBetter for all? You’re an excellent and committed researcher
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years of completing their PhD, although career breaks for parental leave and/or health reasons will be considered. This is because the roles are aimed at early career academics who would benefit from a
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the Fellowships are designed to support those who are at an early stage in their academic careers and will normally be awarded to candidates who have recently completed a PhD degree (or equivalent qualification
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Mamatha Nagaraj , Prof Helen Gleeson , Prof Gordon Love , and Dr Richard Mandle and at the University of Leeds. You will have an PhD degree (or have submitted your thesis before taking up the role) and
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completed or is near to completing a PhD in biochemistry, molecular biology, cell biology or related areas and has experience of working in the cancer signalling or related fields. You will have expertise in
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annum pro-rata. Your skills and attributes for success: An appropriate postgraduate degree, with relevant post-graduate research experience. Normally a PhD or substantial research experience. Experience
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addition please arrange for at least 2 references to be sent direct to references@maths.ed.ac.uk quoting the reference number 12945. Your skills and attributes for success: An MSc or PhD in agent-based