274 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"St" positions at University of London
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the Immigration, Asylum and Nationality Act 2006. Full-Time for 35 hours per week (would consider Part-Time). Maternity Cover for 10 months. The Estates Department is in the process of developing the University’s
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provide clinical input into data-enabled quality improvement programmes supporting general practice across North East London. You will work closely with CEG’s multidisciplinary team to co-develop decision
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teaching experience in cinematography in higher education, and will be supported to develop their teaching practice through appropriate training. The successful candidate will have excellent communication
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project developing Bayesian causal inference methods for mediation analysis using Electronic Health Records (EHR) data. The Research Fellow will design and implement Bayesian methods and software
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occasional opportunities to work from home. Please contact us if you would like to discuss this further. QMSU is a great place to learn and develop your career. You will have access to excellent training
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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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educated to degree level or above or hold equivalent relevant experience, relevant experience of data management in clinical research is required. Essential requirements also include experience of developing
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Manager to join Communications and Events on a permanent basis. You will support the Head of Editorial Planning in developing and implementing the School-wide Editorial Plan. You will play a crucial part in
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affected by developments in the wider economy and society, applicants will have demonstrable experience of the policy, legal constitutional and the complex regulatory environment in which universities
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to work with an international team on developing cutting-edge novel demographic, statistical and computational methods in estimating, modelling and forecasting measures of health, well-being, and human