209 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"U.S" positions at King's College London
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. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria 1. Bachelor’s or Master’s degree in Computer Science
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across partners. Working closely with the Centre Director, Prof. Phil Newsome, the Head of Centre Operations is responsible for overseeing programme delivery, managing operational frameworks, reporting
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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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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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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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analysis, particularly -omics approaches in biology and a keen interest in neuroscience and neurodegeneration. Demonstrable experience dealing with iPSC-derived cultures and data in the context
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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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. Practical problem-solving skills and the ability to think analytically 8. Strong computer skills, proficient with Microsoft Word and Microsoft Excel Desirable criteria 1. Experience of setting up
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Job id: 141225. Salary: £45,031 – £52, 514, including London Weighting Allowance (pro-rata to 0.5 FTE).. Posted: 16 March 2026. Closing date: 22 March 2026. Business unit: Social Science & Public
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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