406 data-"https:"-"https:"-"https:"-"https:"-"UNIV"-"Univ" Fellowship positions in United Kingdom
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Field
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data, working to a preregistered Statistical Analysis Plan. The research applies target trial emulation, to generate robust and policy-relevant evidence. Working closely with the research team
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through all stages including implementation and supporting sites in recruitment, regulatory approvals, data collection and integrity, data presentation and working with translational samples. The post is
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area with the potential to drive significant improvements in health and healthcare. You will be based within the Leeds Institute for Data Analytics and part of the Leeds Institute for Cardiovascular and
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of clinical trials, focussing on supporting clinical trials through all stages including implementation and supporting sites in recruitment, regulatory approvals, data collection and integrity, data
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data, working to a preregistered Statistical Analysis Plan. The research applies target trial emulation, to generate robust and policy-relevant evidence. Working closely with the research team
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analytical backbone of the programme. It develops sensor-enabled diagnostic cells, multi-modal data pipelines and hybrid physics-informed machine learning approaches to understand interfacial behaviour during
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applications. The role will focus on creating demonstrator platforms that combine sensing, data integration, analytics, and visualisation to support better understanding and management of energy use, flexibility
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, drawing on high-resolution proteomics alongside complementary omics, clinical data, and dietary and lifestyle information. The overarching goal is to enable improved disease stratification, identify
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assessment of and reflection on the use of AI agents in science. About you – for a PDRA candidate The successful applicant will be able to present information on research progress and outcomes, communicate
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, drawing on high-resolution proteomics alongside complementary omics, clinical data, and dietary and lifestyle information. The overarching goal is to enable improved disease stratification, identify