318 high-performance-quantum-computing-"https:" "https:" "https:" positions at KINGS COLLEGE LONDON
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opportunity to contribute to cross-cutting hubs (see: https://www.kcl.ac.uk/nms/depts/informatics/research/index.aspx ). Research collaboration across research groups, with departmental hubs and with other
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science. The successful candidate will be appointed to a research group and will have the opportunity to contribute to cross-cutting hubs (see: https://www.kcl.ac.uk/nms/depts/informatics/research/index.aspx ). Research
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, scientific computing, etc). Strong scientific computing background, with experience of different architectures (e.g. CPUs/GPUs) and their use in high-performance computing through shared or distributed
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. CPUs/GPUs) and their use in high-performance computing through shared or distributed parallel programming (e.g. OpenMP, MPI). Strong programming ability in C++ or a related language. Experience in
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United Kingdom Application Deadline 1 Feb 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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, and translating cutting-edge methods into improved health outcomes. https://www.kcl.ac.uk/bhi About the MSc in Applied Statistical Modelling and Health Informatics: https://www.kcl.ac.uk/study
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, team workloads and resources, and in strategically prioritising tasks to ensure the successful delivery of projects and programmes, while motivating and driving teams toward high performance
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to creating social and economic value for both business and society. We offer a wide selection of undergraduate and postgraduate programmes (see https://www.kcl.ac.uk/business), with sustainability at the heart
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20 Jan 2026 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application Deadline
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Modelling and Health Informatics: https://www.kcl.ac.uk/study/postgraduate-taught/courses/applied-statistical-modelling-health-informatics About the role: Lecturer in Digital Health, Health Informatics and