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clinical research groups at the National Heart and Lung Institute at Imperial College London applying statistical, machine learning and simulation approaches to combine experimental and clinical data with
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for early-stage cancer using statistics and/or machine learning (including deep learning where appropriate). You will join a vibrant and growing research group of 12 scientists (six postdoctoral researchers
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-quality teaching and learning, and research and innovation with a campus-wide focus on providing a sector-leading student experience. A culturally rich university with a palpable commitment to the public
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communication, organisational and IT skills. Key Responsibilities Deliver high‑quality teaching, learning and assessment across Beauty Therapy programmes. Act as a course tutor, providing pastoral support and
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-centric machine-learning frameworks for large-scale sequence-structure analysis and functional prediction. The role involves designing, implementing, and benchmarking computational models; developing and
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of doctoral students in the group. Candidates should have strong training in cross-disciplinary applied mathematics, with a demonstrated interest in biology, and experience in machine learning approaches is a
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disciplines, exemplified by its internationally recognised research in AI, computer vision and machine learning, as well as in networks and cyber security. The School hosts an Academic Centre of Excellence in
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role, structured training and development, excellent benefits and conditions of employment, including a pension scheme, generous holiday entitlement, car parking and use of College facilities. Job
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This exciting opportunity is based within the Power Electronics and Machines Control Research Institute at Faculty of Engineering which conducts cutting edge research into power electronics
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of 50,000-60,000 words Computer requirements for studying online Broadband internet connection 3 mbps or higher Internet Browsers Our online learning platform Moodle is compatible with any standards compliant