302 parallel-and-distributed-computing-"Meta"-"Meta" positions at KINGS COLLEGE LONDON
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related field* Experience with multi-modal medical image registration Computer programming skills (e.g., Matlab, Python, C++) Strong academic record, evidenced by publications in peer-reviewed journals and
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High computer literacy with advanced Word, Excel, and statistical software skills. Evidence of delivering training, teaching or working/contributing to a team Ability to work independently while
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scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. About the role We
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About Us You will be part of an active research programme in the Heat and Fire Lab (https://heatandfire.github.io/ ) in the Department of Engineering at King’s College London. About the role We
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of making the world a better place. We are delighted to announce exciting new opportunities to join our community. EMBRACE is a visionary, multicomponent International research programme, the first of its
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the Engineering Services Team who manage asset, reactive and planned maintenance data. About the role: We are looking for an Asset Manager with expertise in planned maintenance, asset validation, CAFM (Computer
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criteria High level of literacy and numeracy, including computer literacy Excellent written and verbal communication skills Experience of communicating with people at all levels Excellent interpersonal
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programme and our commitment to digital transformation will provide opportunities for close cooperation with our Special Collections team. They provide advice, expertise and insight as a member of the
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or Computer Science. Confident in data analysis, including handling large data sets using relevant software, such as Power BI, Tableau, Python, SQL, SSRS, R, Stata, SPSS, or Excel Able to extract, transform and combine
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your body betrays you: interoceptive mechanisms of anxiety after cancer’. This is a large-scale collaborative research programme between KCL, UCL, Stanford University, and the National Cancer Institute