135 parallel-computing-numerical-methods-"Prof" positions at University of London in United Kingdom
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, oral communication and numeric skills are essential. Further particulars are included in the job description. The post is full-time 35 hours per week, 1.0 FTE and fixed-term for 12 months with potential for extension
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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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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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the school as well as those across other academic and professional services areas. Candidates should have excellent organisational and numerical skills and the ability to work both independently as
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Television School, Pinewood, and the University of Surrey. This vital role works across the University’s Research and Innovation team and the StoryFutures Business unit to drive an ambitious R&D programme to
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. The main responsibilities of the post are to support the Employer Engagement and Communications Manager in developing the annual Employer Engagement programme, forging strategically important relationships
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forecasts. Innovate financial models and processes to enhance working methods. Manage and report on project expenditures, including OPEX and CAPEX. Provide analytical support for new developments and
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care and preventive medicine. The post-holder will work in the Centre for Evaluation and Methods (CEM), a thriving centre that incorporates collaborative units who work to deliver outstanding research
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in managing the processes post-merger of 3 academic schools. The post holder will use project management methods to track and manage all processes of integration and formation of the new academic
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knowledge of the SITS student records system, including analysis of data. Presentation skills and ability to prioritise own workload is essential. The successful candidate will be numerate and good at multi