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Field
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economic studies funded by the UK National Institute for Health and Care Research. Experience of conducting economic evaluations using suitable statistical software (e.g. STATA, R or SAS) is essential
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to existing postgraduate students. Applicants must hold an offer of study at The University of Manchester before applying for this funding. RADMA's support is focused on the field of ‘R&D management' and we
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date 1 October 2025 References i) Tuerena, R. E., Mahaffey, C., Henley, S. F., De La Vega, C., Norman, L., Brand, T., ... & März, C. (2022). Nutrient pathways and their susceptibility to past and
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from: https://www.who.int/europe/publications/i/item/WHO-EURO-2024-7855-47623-70134 (Accessed May 2025) 2. Ellis Logan P, Rundblad G, Rogers MB, Amlôt R, Rubin GJ. Reducing health inequalities in
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measurements from optical techniques such as white light interferometry. The selected candidate will contribute to the group’s R&D output and carry out the following tasks over the 4-year PhD: Perform 3D
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, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted in the Department og Microbiome Dynamics of Prof. Gianni Panagiotou of the Leibniz-HKI in
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proximity extension assay (PEA) Assistance with sample handling during autopsies Compilation, visualization, and correlation analysis of data, as well as statistical analyses using R Qualifications
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a bachelor of pharmacy degree and a Ph.D. degree in pharmacy will be preferred. They should have a strong quantitative and qualitative background; experience in analysing epidemiological data using R
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area, have extensive experience in conducting model-based economic evaluations using suitable statistical software (e.g. R or Python) and the ability to work independently, prioritise your own workload
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area, have extensive experience in conducting model-based economic evaluations using suitable statistical software (e.g. R or Python) and the ability to work independently, prioritise own workload and