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(or equivalent) in a biomedical science. Experience in neuroscience and/or immunology is desirable. Project key words Retinal imaging, data-analytics, computer vision, big data Funding The studentship, funded by
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class Bachelor’s degree, or a Master’s degree with merit or distinction, in Mathematics, Statistics, Computer Science, or a related quantitative discipline. International qualifications of an equivalent
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Fields: Open across ten schools covering disciplines such as Engineering, Construction, Computer Science, Law, Business, Arts and Creative Industries, Architecture, Health, and Education Duration: Standard
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international collaborations with clinicians, regulators, policymakers, and industry partners. You must have a strong background in machine learning, computer vision, and medical image analysis, with publications
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Funding amount: Scholarships are available on a competitive basis that cover tuition fees and a teaching contract to support living costs for Home and International students Hours: Full Time, Part
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, Computer Sciences or Aerospace Engineering or a related discipline; a Masters degree in these subjects would be of advantage. In addition, applicants should be able to demonstrate an interest across
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volatile international security environment characterised by the return of great power competition, the Freeman Air and Space Institute (FASI), King’s College London, is seeking applications for a fully
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Requirements We will only consider candidates with a good Bachelor’s degree (ideally, a first, minimum 2:1) and/or a master’s degree in computer science, data analytics, health economics, or computational
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volatile international security environment characterised by the return of great power competition, the Freeman Air and Space Institute (FASI), King’s College London, is seeking applications for a fully
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. The School of Architecture, Computing and Engineering (ACE) at the University of East London (UEL) is deeply embedded in London’s dynamic and diverse communities. Known for its innovative, impact-driven