406 data-"https:"-"https:"-"https:"-"https:"-"LaTIM---Brest" Fellowship positions in United Kingdom
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Field
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. Significant relevant research experience working on a project that relates to health and social care research Experience in quantitative and qualitative data analysis Good understanding of the key issues and
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-institutional strategic national research programme dedicated to using data to transform our understanding of cancer risk and enable early interception of cancers. It represents a major, multi-million-pound
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In this role you will develop cutting edge AI approaches to help researchers identify scientific information in historical manuscripts. Specifically, working with the Royal Horticultural Society
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excited by methodological innovation and real‑world impact. You will hold a PhD in a quantitative discipline such as infectious disease modelling, statistics, mathematical epidemiology, data science, or a
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interpretation of experimental data; Teamworking experience; Publication record commensurate with career stage. Demonstrate proficiency with data analysis tools (e.g., Python/Matlab/Origin). Have the ability
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will work across four Work Packages, developing partnerships with schools, project partners and other groups, and using mixed methods to collect and analyse new data and synthesize existing data sets
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use the data to inform and amend the recruitment strategy as required. The postholder will also conduct interviews with participants after the prosthesis is fitted to understand engagement and
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scales, providing study information and assessing potential study participants, monitoring participant progress during the study, entering data into on-line systems, assisting with study awareness-raising
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scales, providing study information and assessing potential study participants, monitoring participant progress during the study, entering data into on-line systems, assisting with study awareness-raising
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facilities and heritage railways. Responsibilities will include coordinating demonstration logistics, collecting and analysing experimental and operational data, evaluating machine performance, and preparing