132 parallel-computing-numerical-methods positions at University of London in United Kingdom
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Programme Manager, EMBA London to join Degree Education on a permanent basis. You will be responsible for the delivery of specific aspects of operations for the whole EMBA Programme, working closely with
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in Computer Science on Integrated Foundation Year (IFY) Programmes at Royal Holloway, University of London. This is a 0.6 FTE ongoing position. The well-established and successful IFY at Royal Holloway
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for medicine use before and during pregnancy. This postholder would work primarily on a recently funded programme of work to develop a novel approach to understanding and communicating the Safety of Medicines in
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” which examines signal processing and machine learning methods for inferring active travel activities from optical fibre signals. About You Applicants must have an Undergraduate Degree in Computer
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understand. You will have a proven ability to manage a complex workload and deliver on multiple projects in parallel. About the School/Department/Institute/Project The Academic Centre for Healthy Ageing (ACHA
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About the Role You will develop and apply novel computational methods to quantify the societal impact of fundamental science discoveries. Candidates close to completion of their PhD will initially
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demonstrable experience in analysing datasets such as infectious disease surveillance, applying statistical methods, and interpreting output. Further particulars are included in the job description. The post is
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Programme. In the NIDUS-Family trial, 302 people living with dementia and family carers set goals around their individual priorities and needs for living as well as possible at home. Two-thirds
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About the Role The Global Partnerships and Opportunities Manager (Incoming) is responsible for implementing and (in collaboration with colleagues) developing Queen Mary’s Study Abroad Programme for
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computational methods (Efremova et al. Nature Protocols, 2020; Jain et al., Genome Biology). About You PhD in a biological or computational subject and background in working with genomics data. About the School