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or related discipline to develop their data analysis and modelling skills and experience, applied to the field of health economics. We wish to encourage people who have strong quantitative skills who may be
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working full-time. An exciting opportunity has arisen for a talented graduate in a quantitative STEM, psychology, health or social sciences or related discipline to develop their data analysis and modelling
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‘Postgraduate Research’ in 'Type of Study', ‘Full Time’ in ‘Mode of Study’, ‘2025’ in ‘Year of Entry’, code ‘7370F’ in ‘Course Title’, blank in ‘Research Area’. Press ‘Search’, select ‘MPhil Population Health
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offers the chance to work with zebrafish disease models, explore new therapeutic targets, and gain invaluable experience in experimental techniques such as CRISPR gene editing, in vivo imaging, and
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-source software packages. As a Research Assistant, your primary duty will be to support the analysis of real-world data mapped to the OMOP Common Data Model, contribute to wider project planning, including
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your online application form to ensure you are included. Please add a funding source, and populate the fields as below: Type of Funding: Uni of Manchester Scheme Awarding Body (free text): SEED School
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The Role We are seeking a highly motivated researcher - either a Grade 7 PhD holder, or a Grade 6 graduate - to join the IMPACTS project, funded by the Northern Net Zero Accelerator. The project
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Advert Research Assistant Division of Population Medicine School of Medicine College of Biomedical and Life Sciences This post will support a brand-new MRC NIHR funded grant called RAPID-Involve
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on the diversity of its student population and on being an inclusive employer. We encourage applications from candidates who represent the diversity of our student population, local communities and wider society. In
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to applying. More information regarding secondments can be found here The University of Leicester prides itself on the diversity of its student population and on being an inclusive employer. We encourage