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of health or clinical data Demonstrable experience of applying statistical methods to complex research problems Proficiency in a range of statistical software (e.g. R, Stata, SAS, SPSS or equivalent
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Engineering, or related discipline, or equivalent industry experience. Practical experience of software design and development in a commercial R&D environment. Experience in producing high-quality outputs
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on the recruitment of NI based participants, the psychosocial survey management and data analyses, and the exploration of data-linkage across sites/Trusts. They will have formal mentoring and gain experience
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), for a range of health care, public health and social care topics. These evidence syntheses will use a variety of methods, including standard systematic reviews but might also include living reviews
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The successful candidate must have, and your application should clearly demonstrate that you meet the following essential criteria: Applicants must hold, or be about to be awarded, a PhD in a relevant area
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PhD in a related discipline. Has at least 3 years’ research experience in evidence synthesis. Has a publication record commensurate with stage of career. Has experience of using statistical and software
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new and innovative modules/pathways or assessment methods in Actuarial Science and related fields. Demonstrable ability to advance the teaching and industry engagement goals of QBS. Successful
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’ application for Lecturer (Research and Education) should clearly demonstrate: A completed PhD (or very close to completion) in Accounting or a related discipline. An established programme of research activity
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. EDUCATION AND QUALIFICATIONS Essential: Have or be about to obtain a PhD in Architecture, Planning, Urban Design, Geography, Environmental Studies or another relevant discipline (NB: 'About to obtain' is
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: Applicants must hold, or be about to be awarded, a PhD, preferably in pharmaceutical science, formulation science, antimicrobial therapeutics or microbiology, or a related discipline with a strong microbiology