129 parallel-computing-numerical-methods positions at University of London in United Kingdom
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prevent chronic conditions. This KTP project builds the collaboration between DDM Health Ltd., Coventry, and Department of Computer Science and Department of Biological Sciences, Royal Holloway, University
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-holder will lead a strategy for epidemiology research supporting outbreak response for UK-PHRST, manage new and innovative research projects and provide research expertise across the programme. They will
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, administratively support in-person examinations and prepare papers, support checking quality assurance information, work methodically, follow set processes and procedures and have a high level of attention to detail
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About the Role We are seeking an organised and methodical person, to maintain the teaching and associated facilities within the Centre. The work includes preparing rooms for teaching & exams
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methods. Experience in molecular microbiology is essential, with proficiency in RNA isolation from bacterial, eukaryotic, and virus-infected cells, cDNA preparation, and PCR methods such as Real-time PCR
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, to support and facilitate enhancement of learning and teaching, innovative methods of curriculum delivery and student success. We are looking for a colleague to join the Educational Development team in
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, which include a short book on creative and curatorial methods, a digital festival and a digital archive. Assisting the Project Leader with management and administrative tasks, including creating website
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Security Agency (UKHSA) and LSHTM. We are looking for a social sciences researcher with expertise in conducting qualitative and mixed methods research/evaluations and a good knowledge of the UK vaccination
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to someone proactive and ambitious who has obtained their PhD and has begun an academic career in epidemiology, pharmacoepidemiology, or medical statistics, with a focus on causal inference methods applied
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health implementation in low-income and middle-income countries (LMICs). The post-holder will be developing prediction models using classical statistical methods, machine learning (ML), and Artificial