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, oral communication and numeric skills are essential. Further particulars are included in the job description. The post is full-time 35 hours per week, 1.0 FTE and fixed-term for 12 months with potential for extension
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demonstrable experience in analysing datasets such as infectious disease surveillance, applying statistical methods, and interpreting output. Further particulars are included in the job description. The post is
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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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Institute and RiverD International. The successful candidate will adapt existing and develop and test new methods for detecting metastatic lymph nodes based on their molecular signatures as captured by AF and
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the school as well as those across other academic and professional services areas. Candidates should have excellent organisational and numerical skills and the ability to work both independently as
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Product (CTIMP). TiLLI-High aims to investigate the most effective and cost-effective method of pharmacological prophylaxis in a population at higher risk of VTE. TiLLI-Low aims to investigate
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Television School, Pinewood, and the University of Surrey. This vital role works across the University’s Research and Innovation team and the StoryFutures Business unit to drive an ambitious R&D programme to
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. The main responsibilities of the post are to support the Employer Engagement and Communications Manager in developing the annual Employer Engagement programme, forging strategically important relationships
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, and OpenSAFELY, and to develop and apply the new generation of analytical methods to study environmental health risks and climate change. The post will provide opportunities for interactions with
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forecasts. Innovate financial models and processes to enhance working methods. Manage and report on project expenditures, including OPEX and CAPEX. Provide analytical support for new developments and