279 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"SUNY" positions at University of London
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Development opportunities Pension Scheme with generous employer contribution Various schemes including Cycle to Work, Season Ticket Loans and help with the cost of Eyesight testing. Free parking The post is
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competitive rewards and benefits package including: Generous annual leave entitlement Training and Development opportunities Pension Scheme with generous employer contribution Various schemes including Cycle
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Vitro Models. The project aims to use organ-on-a-chip technology combined with bioengineering approaches to develop, validate and use a suite of vascularised human tendon-chip models. These high quality
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this cohort are around 40,000 University of London students who study programmes which are developed and delivered in partnership with our 17 federation members. The University of London is also home to
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, Widening Access, E-learning and Educational Development. You will play a key role in supporting the work of the team, leading on and contributing to a variety of tasks related to the administration
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develop research that can inform policy in this important area. The candidate should have a background in a quantitative subject, in particular epidemiology or medical statistics and be familiar with
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-develop new digital evidence synthesis tools (DESTs) and showcase their transformational power to deliver rigorous living evidence in climate and health that matters to policy makers and other evidence
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comprehensive pre-award support to LSHTM’s three academic faculties. The posts will work within a small team responsible for supporting coordination, budget development and submission of research funding
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The jobholder is accountable for developing and managing the recruitment and admissions process for EMBA Dubai in order to maximise the pool and select the highest quality applicants from the pool. Responsible
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related to gravitational wave astronomy. The primary aim will be the development of advanced approaches for computational Bayesian Inference to measure the properties of Compact Binary Coalescence signals