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assays in the lab. Collecting, analyzing, and summarizing the data. Writing research and review articles summarizing results of the research. Presenting the work at internal and external meetings and
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positively in the research activity of the NIHR Mental Health Leadership Award, focusing on children and young people, under the direction of the Mental Health Leader. Data collection and analysis, vital
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to prove their eligibility to work in the UK. Please see: Right to work in the UK | Selwyn College For further information with the link to the application system, please click on the 'Apply' button above
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count data, offering a rare opportunity for applied research and experimentation. The postdoctoral research fellow will be supervised by the principal investigator Dr. Adrian Chong from the Department
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discipline (statistics, mathematics, computational biology, data science). Strong programming skills (R preferred) Statistical competence (Bayesian is advantageous) Please email the PI at ephdbsl
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and energy materials. Preference will be given to those with knowledge of computer programming, AI and/or machining learning. Applicants are invited to contact Prof. Jianguo Lin at telephone number 2766
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for the Expansion of Wellbeing Archaeology (KNEWA). KNEWA will run for 1 year, it will collect and compare data on policies and delivery of WA in England, Denmark and Italy to advance understanding of what works in
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expectations and evolving professional and creative sector demands, including the implications of generative AI. The Fellow will design and carry out research activities, including data collection, analysis, and
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statistical data and an interest in the ways in which education can teach democratic values. The postholder will be part of a small research team based at UCL and the University of Roehampton and will play a
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. • Experience with data analysis using statistical inference techniques. • Experience with health economic evaluations. • Experience with parallel and/or high-performance computing. • Familiarity with agent-based