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diagnostics and therapeutic stratification in lung cancer. In collaborating with cross-functional teams, including bioinformatician, computer scientists, AI engineers, biologists, and clinicians, you will
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and their impact on the environment. Ability to apply learnt techniques to the work context. Clear spoken and written communication skills, with competent computer use and strong interpersonal and
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, booking rooms, ordering catering, logging Estates & Facilities issues, etc It is worth being aware that this role is predominantly computer based, with opportunities for in person delivery across
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relevant subject area: Machine Learning, NLP, Computer Vision or related fields. Strong publication record in AI/ML/CV or related areas. Ability to work independently and collaborate across disciplines
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Desirable criteria Experience of metabolomics (e.g. sample extraction, liquid chromatography) Experience in fluorescence and confocal microscopy IT and computer literacy Understanding of intermediary
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, Surgical & Interventional Engineering, Imaging Physics & Engineering and Digital Twins for Healthcare. Our staff and students comprise physicists, chemists, biologists, engineers, computer scientists
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records of maintenance activities, inspections, and statutory compliance checks using the university’s CAFM (Computer-Aided Facilities Management) system. Stakeholder Management: Proactively engage with
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monitoring involves the participant completing questionnaires and a speech task on a purpose-built smartphone Active App and completing cognitive tasks on a home computer. Passive monitoring involves data
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relevant subject area: Machine Learning, NLP, Computer Vision or related fields. Strong publication record in AI/ML/CV or related areas. Ability to work independently and collaborate across disciplines
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an exceptional Computer Scientist, Computational Biologist, AI Researcher, or Data Scientist to join a pioneering interdisciplinary programme that aims to revolutionise our understanding of human physiology and