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About the Role The purpose of this role is to provide data science support for the Women’s Health Research Unit (WHRU) at the Wolfson Institute of Population Health. This role includes overseeing
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data models for electronic health records of people with mental disorders, under the guidance of Dr Osimo and Prof Murray at Cambridge, and a line manager to be selected at Akrivia Health. The aim
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probe attached to the patient’s forehead. Crainio’s nICP technology has been studied and developed since 2016. In-vitro studies, tests in healthy volunteers and data collection from patients in critical
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disorders using secondary data analysis of UK-based cohort data. This position is part of a Medical Research Foundation-funded project. The project is titled “Investigating Food Insecurity and Eating Disorder
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Wide Data-Driven Circular Economy of Industrial Robots”. The candidates are expected to have experience with robotics, artificial intelligence, and digital twins. We are looking for candidates who can
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-scale data analysis, and systems modelling. The post holder will play an integral role in experimental design, sequencing, data interpretation, manuscript preparation, project coordination, and the
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probe attached to the patient’s forehead. Crainio’s nICP technology has been studied and developed since 2016. In-vitro studies, tests in healthy volunteers and data collection from patients in critical
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Wide Data-Driven Circular Economy of Industrial Robots”. The candidates are expected to have experience with robotics, artificial intelligence, and digital twins. We are looking for candidates who can
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About us The evidENT team, which is part of UCL's Ear Institute applies artificial intelligence to address challenges in hearing healthcare. We are a multidisciplinary group of clinicians, data
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of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page where you click “Apply Now”. This document will provide information