202 Computer-Science-"https:"-"https:"-"https:"-"https:"-"https:" positions at King's College London
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About Us This role sits within the Faculty Education Services in the Faculty of Life Sciences & Medicine (FoLSM) at our London Bridge campus – www.kcl.ac.uk/schools/index-new.aspx About the role
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to reflect the audience. Highly numerate and confident with budgetary control skills and procurement regulations Highly computer literate e.g., Microsoft, CAD Leadership and people management skills. Relevant
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leave, menopausal support, an active wellbeing programme, training and development opportunities and much more. All of our staff benefit from a generous pension contribution as well. As part of hybrid
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: This post will contribute to a developing programme of quantitative research on work and well-being, in relation to modern work (flexible working, digitalisation of work, AI), leadership, and entrepreneurship
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About Us Join the School of Biomedical Engineering & Imaging Sciences at King’s College London and play a key role in supporting innovative medical device research that improves patient care. As
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Job id: 150465. Salary: £45,031 - £52,514 per annum, including London Weighting Allowance. Posted: 22 June 2026. Closing date: 01 July 2026. Business unit: Faculty of Life Sciences & Medicine
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: Essential criteria 1. A relevant undergraduate degree (e.g. computer science, psychology, neuroscience, engineering, mathematics, statistics) with at least a 2:1 or equivalent 2. Excellent
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public audiences. Contribute actively to the vibrant research culture of the QUAHRC, bringing ideas and enthusiasm to its programme of research, methodological development and knowledge exchange through
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needs of King’s College London end users. As a Senior Desktop Engineer, you will be the technical and customer escalation point for junior team members, help to identify service improvements, and be able
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research themes combining theoretical analysis, probability, and computational modelling. Core duties include: Researching the non-local geometry and topology of Gaussian random fields, and random Laplace