113 parallel-and-distributed-computing-"Meta"-"Meta" positions at King's College London
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for students, staff & partner providers, enabling the delivery of education through managing quality, programme, placement and assessment administration. We provide dedicated student support that prioritises
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London, acting as the main contact for programme queries and providing excellent customer service to prospective applicants, parents, and students. They will play a key role in assisting the Programme
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support processes within our main workstreams of Assessment and Award, Programme Planning and Delivery and Student Communications and Knowledge ensuring accurate and timely record management across multiple
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for students, staff & partner providers, enabling the delivery of education through managing quality, programme, placement and assessment administration. We provide dedicated student support that prioritises
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. Since our founding in 1992, we have spearheaded new intellectual possibilities among computing, the humanities and the social sciences. We are the largest and most prestigious department of our kind
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Job id: 117485. Salary: £34,179 - £37,546 per annum, including London Weighting Allowance. Posted: 16 June 2025. Closing date: 01 July 2025. Business unit: Faculty of Arts & Humanities. Department: Arts & Humanities Cluster Offices. Contact details:Charlotte Taylor / Louise Beach. ...
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documentation and compliance. They will work closely with clinical teams to identify eligible participants and ensure high-quality engagement with trial protocols. In parallel, the fellow will contribute
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and measurement of therapeutic response remain challenging. You will be specifically involved in two parallel studies making use of a portable, noninvasive muscle recording device in both home- and
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qualifications, or other training. Excellent interpersonal skills, with the ability to communicate and distribute information clearly Ability to build and engage with internal and external networks that support
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About us The Social Computation and Representation Lab (SoCR Lab; www.socrlab.net) uses mathematical models and causal experimental designs to understand the fundamental rules behind human and AI