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that present significant problems for data reduction and analysis. This PhD project, in close collaboration with researchers at ISIS Neutron and Muon Source and University of Nottingham, will address this by
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Nottinghamshire NHS Foundation Trust. They will work as part of an established and diverse wider research team based at other recruitment sites in Sussex, London and Gateshead. You must have knowledge and
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degree. A good knowledge and/or experience in chemical experimental techniques is essential, as is the ability to work well in a team. Prior experience in the areas of computational chemistry or analytical
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the potential to use that knowledge to design new drugs, new biomaterials or to identify new therapeutic opportunities. What You’ll Do You will receive training and hands-on experience in: Investigating how
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plus Familiarity with FE simulation tools such as ANSYS or Abaqus (or willingness to learn) General knowledge of structural analysis and material behaviour, especially failure mechanisms Some experience
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Master in Epidemiology or Public Health with experience in medical statistical analyses, an understanding of Health Economics, knowledge of the strengths and weaknesses of scientific research, excellent
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, the software or staff knowledge while supporting the system. It is important to note that obsolescence management plays a key role in improving safety, security, efficiency, and lifetime of a system, and such
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engineering knowledge. Funding support We are offering home fees and UKRI minimum stipend. Further information Please contact Tao Yang ezzty@exmail.nottingham.ac.uk for further information Closing date 16
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as medical/biomedical sciences, epidemiology, public health, health data science). Experience or interest in working in public health or epidemiology or similar is desirable. Knowledge and evidenced
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Skills and experience required for the role: PhD (or near-completion) involving qualitative research methods. Knowledge of qualitative research approaches and ethics. Experience of designing, conducting