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processes associated with CIN [1], leveraging single-cell DNA sequencing understand CIN heterogeneity [2], and development and implementation of machine learning and AI models to imaging data [3]. The student
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: Candidates should hold a UK (or international equivalent) first or upper-second Bachelor’s degree. Candidates with backgrounds in electrical and electronic engineering, physics, computer science and
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applicants from across the broad field of cognitive neuroscience with an imaging-informed programme that is complementary to our existing research portfolio. The successful candidate's cognitive neuroscience
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across the world and a wider group of stakeholders, you will lead the research on advanced image reconstruction techniques that jointly process multi-contrast MRI data to maximize image quality—leveraging
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to the clinic The post holder will be based in the Department of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers
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full-time, fixed-term position for a duration of two years. The role is based within the Department of Computer and Information Sciences at Northumbria University, located in Newcastle upon Tyne. About
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independen tly and as part of a team to agreed deadlines • Be proficient in the use of common computer applications, such as word processing, spreadsheets, databases and presentation packages. Applicants will
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/or HCI (Human Computer Interaction). You will have a good track record of publications that demonstrate this experience, preferably including user studies. You will also have excellent interpersonal
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About Us The Faculty of Life Sciences & Medicine at King’s College London seeks to appoint a computer scientists (Breast Cancer Now Unit) in the Comprehensive Cancer Centre, which is the academic
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facility at Manchester currently comprises 10 X-ray instruments, which enable 3D computed tomography (CT) imaging of objects over a wide range of time and length scales. In this role you will be leading