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and genes, such as the identification of variation in the glucocerebrosidase gene (GBA) in Parkinson’s disease and association of TREM2 with Alzheimer’s disease. In the past we lacked the technology to
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methods could alleviate this limitation by leveraging large amounts of un-annotated datasets. These techniques remain however largely unexplored in the field of medical video analysis. The School of Science
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The School of Science and Technology, with its industrial partner 4BetterDevices GmbH, offers a studentship for the development of machine learning methods for feature selection and sensitivity
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Duration of study: Full time - 4 years fixed term (1y MRes + 3y PhD) Starting date: September 2024 Primary Supervisor: Prof. Ilias Tachtsidis, Department of Medical Physics and Biomedical
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high-impact publications will be generated during the project, to be presented both in computer science-related venues (e.g. CVPR, NeurIPS, MICCAI) as well as at medical conferences (e.g. ISMRM, ESMRMB
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Ref NumberB02-07042Professional ExpertiseResearch and Research SupportDepartmentSchool of Life & Medical Sciences (B02)LocationLondonWorking PatternFull timeSalarySee advert textContract TypeFixed
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degree in health policy, health services research, psychology, behavioural science, data science, or related disciplines Experience with qualitative and/or quantitative research methods Proven analytical
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College of Health, Medicine, and Life Sciences PhD studentship to increase engagement in pulmonary rehabilitation in COPD The National Institute for Health and Care Research (NIHR) and Brunel
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with a highly interdisciplinary and international team to develop the advanced sensors technology for wastewater surveillance (wastewater-based epidemiology) to provide new understanding for real-time
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considered. Hyperspectral Imaging (HSI) is a non-invasive and quick imaging technique that offers valuable diagnostic insights. In recent years, medical HSI has shown promising outcomes across various medical