347 cloud-computing-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" Fellowship positions in United Kingdom
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The London School of Hygiene & Tropical Medicine (LSHTM) is one of the world’s leading public health universities. Our mission is to improve health and health equity in the UK and worldwide; working in partnership to achieve excellence in public and global health research, education and...
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development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One year for every year of sponsorship. Application Process
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, including dealing with problems that may affect the achievement of research objectives and deadlines. • Contribute to the planning and organising of the ReLiB research programme. • Co-ordinate own work
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Fellowship is a career development post, designed to enable an outstanding early career academic to undertake an independent, self-directed programme of research that substantially develops or is different
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Understanding of and ability to contribute to broader management/administration processes Contribute to the planning and organising of the research programme and/or specific research project Co-ordinate own work
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processes Contribute to the planning and organising of the research programme and/or specific research project Knowledge of the protected characteristics of the Equality Act 2010, and how to actively ensure
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computational statistics, statistical machine learning, simulation and statistical programming). The postholders will join the dynamic and collaborative Department of Statistics. The Department carries out world
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close to completion) in Psychology, Behavioural or Cognitive Science, Computer Science, Information Systems, or another relevant field, and be able to demonstrate a suitable publication track record
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. An MSC in statistics with expertise in causal inference would also be acceptable if the student is willing to complete a PhD. Experience in causal inference techniques such as g-computation, and propensity
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and responsibilities Conduct a comprehensive review and synthesis of existing air quality, health and economic data, applying quantitative and computational techniques where appropriate to ensure robust