270 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof" positions at University of London in United Kingdom
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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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to admits onto LBS Online courses. Key deliverable with associated KPI conversion target. Developing and managing the sales pipeline by: Converting enquiries into confirmed participants on the courses
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) is a training centre, developing PhD researchers within areas related to the interest of the ISG. The ISG CDT Senior Administration Officer is responsible for the core administrative processes
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maternity cover. This role is responsible for leading the development of new and existing relationships with corporate clients, growing our presence with organisations in the UK and internationally. The
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programme. About the CoSTAR National Lab : The CoSTAR National Lab is the largest ever investment in creative industries R&D by UKRI. A £51.1m programme led by Royal Holloway, University of London to develop
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into the large team of specialists at the RVC’s Queen Mother Hospital for Animals, located in our Hawkshead Campus, a 15-minute train ride from the centre of cosmopolitan London and near a number of international
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for the seamless running of the 24/7 service for the continuity of administration for the accounts and reception teams. This role offers an excellent opportunity to use and develop your skills in all
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About the Role Applications are sought for an exciting opportunity within the Ciccarelli lab, within the Centre for Cancer Evolution, Barts Cancer Institute. We are seeking an independent, highly
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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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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