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research into planet formation/protoplanetary discs or the ISM/star formation and may also have some experience in statistical methods and/or machine learning. Dr Winter and QMUL are committed to improving
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data from the UK using robust causal inference methods. Based in London at the London School of Hygiene & Tropical Medicine, the post-holder will be embedded within the Electronic Health Records Research
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analysis as part of their learning journey. You will also be an excellent communicator and versatile teacher, able to adapt your teaching methods to fit the diverse backgrounds of our students, in
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, University of London is a core element of the Estates Directorate managing a wide range of issues and co-ordinating a large team of in-house trades people and external contractors. We are looking to recruit
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science methods, ideally to environmental health data, and conducting systematic reviews and meta-analysis. Further particulars are included in the job description. The post is full-time 35 hours per week
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, Active Lifestyle and Sport is an essential element of the student experience and belonging. The Active Lifestyle & Sport team is responsible for encouraging participation in sport, health and fitness
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platform support tasks when required. The ideal candidate will possess: Excellent organisational and communication skills. A proactive, methodical approach to problem-solving and documentation. Hands
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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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), and apply these and other related methods in a study comparing the clinical and cost-effectiveness of local versus general anaesthetic for people with a ruptured abdominal aortic aneurysm undergoing