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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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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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, 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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, 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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and electromagnetic theory and RF design, and know-how of information theory Experience with CST and/or FEKO and/or HFSS Experience in MIMO systems and models including white-noised, scalar-quantity
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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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contract with GSTT, enabling access to data and facilitating close collaboration with clinical and research colleagues across both institutions. About The Role The TOUR team requires a Research Fellow to
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health data. In combination, this permits a more process-based understanding of malaria risk enabling targeting of interventions based on specific eco-hydrological settings. Main Duties and
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). Demonstrable familiarity with technology translation,commercialisation of research, or similar entrepreneurial activity. Experience in method development, validation, and quantitative data analysis. Experience
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(HDH) School, located at Southampton University Hospital site. Working alongside genomic informaticians, clinicians, and data scientists, you will help drive translational research that has direct impact