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your personality: Doctorate/PhD in computer science with excellent grades. Diploma, Master's, or Magister degree in computer science, or medical informatics (or equivalent, with solid knowledge in
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analysis Evidence of ability to contribute to interpretation and write up of research findings for academic and policy audiences Research Associate Essential criteria PhD qualified in relevant subject area
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dynamics simulations to recover dynamic strain and flow fields. Candidates should hold a PhD in a relevant biology or engineering discipline and be competent with numerical simulations. We are looking for a
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, reporting to Prof. Mauro Pasta. Applicants must hold PhD/DPhil in Materials Science or Chemistry (or be close to completion), together with relevant experience in the field of beyond Li-ion batteries, in
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science or other relevant area. Have or be about to obtain a PhD in a relevant subject. Experience: Specific, relevant research experience working on a project that relates to health and social care
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(or equivalent) or a Masters degree in a social science or related discipline. Have or be about to obtain a PhD in a relevant subject. Experience: Relevant research experience working on a project that relates to
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PhD (or near completion) in a relevant area such as Psychology, Mental Health, or Social Sciences. Experience in qualitative and/or mixed methods research. A demonstrable commitment to co-production and
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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