266 algorithm-development-"Multiple"-"Prof"-"Prof"-"UCL" positions at University of London
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pension package, 14.5% employer contribution (in return for employee enrolment and contribution) Free onsite gym and swimming pool Amazing range of professional development to support your career path
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range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and
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: Generous annual leave entitlement Training and Development opportunities Pension Scheme with generous employer contribution Various schemes including Cycle to Work, Season Ticket Loans and help with the cost
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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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modelling/AI and/or computational neuroscience, with strong computational skills. The post holder will provide research support in the area of computational neuroscience/AI and animal cognition, develop
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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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, 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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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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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