178 professor-computer-science-"https:"-"https:"-"https:"-"https:" positions at King's College London
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Doctoral College, which supports a thriving community of over 4,200 doctoral researchers. Our comprehensive and inclusive doctoral student development programme includes approximately 300 live workshops each
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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
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Integration Supervisor - Life Safety will be responsible for the integration, monitoring, and optimisation of all life safety-related building systems, provide technical support to operation engineering team
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that change management plans are built into wider project and programme planning Change management plans which include impact assessment, sponsor roadmaps, resistance and communications plans Coaching and
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Job id: 137725. Salary: £53,947 - £63,350 per annum, including London Weighting Allowance. Posted: 06 February 2026. Closing date: 22 February 2026. Business unit: Social Science & Public Policy
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based in the Department of Informatics within the Faculty of Natural, Mathematical & Engineering Sciences (NMES), an internationally recognised centre for research in robotics, artificial intelligence
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(e.g. data science, computer science, AI/NLP)* Experience in Data Science techniques, especially data analysis and prediction modelling, evidenced by publications and/or dissertation, or equivalent
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security principles Intermediate level of one of the following fields, and advanced level of two or more of their component disciplines: Crestron control programming (or similar) Sound engineering, DSP
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. The broader goal of the overall programme, funded through the Wellcome Trust bioimaging technology development initiative, is to deliver multimodal datasets in an interoperable manner through open access
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. Degree/Postgraduate qualification in a relevant field (e.g., Construction Management, Architecture, Engineering) or equivalent demonstrable experience in construction project delivery. 2. Must have