30 parallel-and-distributed-computing-"Meta"-"Meta" research jobs at King's College London
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research team focused on advancing cancer care through cutting-edge computational and AI technologies. We develop innovative approaches that combine deep learning, computer vision, and bioinformatics
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Sci. Department: Informatics. Contact details:Stephen Kell. stephen.kell@kcl.ac.uk Location: Strand Campus. Category: Research. About Us The Department of Informatics is a vibrant research
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, and patient partners on a 5-year collaborative research programme funded by a Wellcome Mental Health Award, ‘When your body betrays you: interoceptive mechanisms of anxiety after cancer’. The award is
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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics
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Institute and Centre Lead for Cancer Genomics and Computational Biology at Barts Cancer Institute, Queen Mary University of London). We welcome applications from all qualified candidates. Research staff
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research. Moreover, Prof Van Hemelrijck leads Guy’s Cancer Real World Evidence (RWE) Programme together with Dr Anne Rigg from Guy’s and St Thomas’ NHS Foundation Trust. The programme aims to amplify Guy’s
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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work independently, once appropriate training and guidance is provided. Excellent academic writing, oral presentation skills and computer skills and proficient in the use of applications such as
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novel therapeutic strategies, and for anticipating the evolutionary trajectories of other viruses with pandemic potential. Our current research programme is structured around three central themes
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motivated Research Fellow with a strong background in statistical genetics and/or computational biology to join our team. The successful applicant will lead a cutting-edge research programme which aims