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responsibilities include data collection, analysis, and database management; preparing research findings for conferences, peer-reviewed journals, and reports; and conducting literature reviews to guide study
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specific components and establish if and how control nociception. Finally, some of the new discoveries will be applied to biomarker research through analysis of human plasma samples provided by
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techniques and related data analysis tools. Relevant analytical and problem-solving skills with the ability to work independently and in a team environment. About the School/Department/Institute/Project
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has a comprehensive portfolio of epidemiology, economics, risk analysis, surveillance, and public and One Health approaches, with applications across Europe, Asia, Africa, South America, and globally
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decisions about their people and performance. We’re looking for someone with: Proven experience in data extraction, analysis, and interpretation from diverse sources. Expertise in creating MI dashboards using
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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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responsibility for the design and delivery of the programme. You will deliver high quality processes and programme elements as well as professional, knowledgeable and timely information to all programme team
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Engineering or related area. You should have expertise in computational-modelling, analysis, and high-performance computing, with proficiency in CFD, fluid-structure-interaction and programming. Experience in
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including mental health using linked electronic health records data. The post offers an excellent opportunity to design and conduct studies involving analysis of large-scale health data from the UK using
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; consistent, efficient and focused on the needs of the user, whether that be an applicant, student or member of staff. They will be responsible for overseeing the analysis and redesign of business processes