188 assistant-professor-computer-science "https:" "https:" "https:" "https:" uni jobs at King's College London
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strategy. Assist in the coordination and developing lifecycle strategy projects for delivery with Capital Projects and Engineering campus projects, ensuring alignment with Estate Strategy during design
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of associated tools Co-ordinate and support content creation to underpin change activities of within both a project and programme environment Assist in the development and implementation of change communication
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remains inclusive, engaging, and impactful, you will draw on student feedback to help shape the programme whilst building strong relationships with faculty staff, external training providers, and internal
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About Us The Faculty of Life Sciences and Medicine is a leader in medical education and research, providing a vibrant and supportive environment for its faculty and students. By joining King’s, you
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of documentation required to confirm local capacity, obtain R&D theme lead approvals, and collate the regulatory approvals needed to instigate straightforward clinical trials To assist in maintaining the records
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About us: At King’s College London, our Engineering Team plays a critical role in ensuring our facilities are safe, efficient and well maintained to ensure our vibrant community is able to learn
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Science, but not necessarily in a health-related field. They will also help to further develop ML models to predict patients’ clinical outcomes. This is a full-time post, and you will be offered an a fixed
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Tutor will plan and deliver a year-long programme of Personal Tutoring which must include group tutorials, 1-2-1 meetings, and study skills workshops as well as study/university skills workshops
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Job id: 142946. Salary: £45,031 - £52,514 per annum inclusive of London Weighting Allowance. Posted: 08 April 2026. Closing date: 23 April 2026. Business unit: Faculty of Life Sciences & Medicine
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qualified in computer science, mathematics, physics or similar disciplines * Demonstrated expertise in artificial intelligence, machine learning, deep learning, and data mining methods and algorithms Proven