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to tackle this major clinical challenge. Using advanced data science and 'glucometrics', the standardised analysis of inpatient glucose data, the student will quantify adverse glycaemia, evaluate its impact
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master’s (or international equivalent) in a relevant science or engineering discipline. We are looking for a motivated candidate with genuine curiosity about the research area and the drive to take a project
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generate biologically interpretable models of zoonotic emergence and ultimately aid in developing new tools for human pathogen surveillance. This project offers training in bioinformatics, data science and
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collaborative, interdisciplinary environment that brings together expertise in chemistry, physics, and computer science. Success in this role requires the ability to engage effectively with colleagues from
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, radiopharmaceutical sciences, oncology, translational medicine and drug development. The successful candidate will join a highly multidisciplinary team, supervised by Professor Luigi Aloj (Department of Radiology), Dr
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for work, money and society. This PhD combines economics, psychology and health science to look into this topic for the first time. You will gain skills in behavioural experiments, data science and health
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Qualification Type: PhD Funding amount: Refer to advert Discipline: Engineering & Technology Materials Science Other Engineering Physical & Environmental Sciences A fully funded PhD studentship is
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Engineering, Control Engineering, Mechatronics, Robotics, or a related discipline with a strong focus on dynamic systems. Strong background in state-space modelling, estimation theory, and control systems. Good
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We are seeking a creative and highly motivated Research Assistant/Associate to join Dr Somenath Bakshi's research group in the Department of Engineering. The project will investigate how bacterial
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directly with speaker communities to ensure the technology is genuinely useful to them. You will gain deep expertise in machine learning and natural language processing, access to high-performance computing