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project developing Bayesian causal inference methods for mediation analysis using Electronic Health Records (EHR) data. The Research Fellow will design and implement Bayesian methods and software
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practice. They will also be supported to develop their career and build grant or fellowship applications. About You Candidates must have a PhD (or close to completion) or research qualification/experience
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data analysis, and write scientific reports. In addition, there is scope for supporting PhD students, and collaborating with other experimental and computational neuroscientists within and outside
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introduced to practicalities of using specific equipment and software for experiments. Carry out other duties, commensurate with the grade and remit of the post Essential criteria A good honours degree in a
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. About You You will have a PhD in statistical genomics, genetic epidemiology, population genetics, biostatistics, or a closely related discipline, with demonstrated experience in analysing large-scale
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undergraduate and taught postgraduate students and 220 PhD students. Circa 40 administrative and technical staff support the staff and students. The staff and student body are international in make-up. The School
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information on both roles. About You Candidates must have an Undergraduate Degree in health data science or similar field. Applicants at the PDRA level must have a PhD (or close to completion) or research
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projects utilising quantitative, qualitative or mixed methods on DeNPRU-QM. On GRACE you will gain experience in co-production and work with our Patient and Public Involvement members. The post holder will
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Science, a large School with 120 academics and 70 postdoctoral research staff. There are around 1371undergraduate and postgraduate students and 233 PhD students. These are supported by an administrative and
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the School of Engineering and Materials Science, a large School with 120 academics and 70 postdoctoral research staff. There are around 1371 undergraduate and postgraduate students and 233 PhD students