107 parallel-computing-numerical-methods positions at University of London in United Kingdom
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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
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science. About You We are seeking a PDRA who will use advanced statistical and computational methods to analyse multi-omics datasets, such as genomics, proteomics, and metabolomics. You will develop
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the Immigration, Asylum and Nationality Act 2006. Full-Time, Permanent The Role: The Project Manager for the CoSTAR National Lab is a pivotal role within the CoSTAR programme, responsible for the successful
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requests, circulation and collection administration, and document scanning. A methodical approach, confidence with IT systems, and the ability to problem-solve while working effectively with readers and
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electronic health records, preferably in the context of infectious diseases and knowledge of statistical methods including regression methods, multi-level models and preferably, Bayesian data analysis is also
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., think-aloud interviews, usability testing), or co-design methods is highly desirable. You will be comfortable communicating with digital development teams, translating user needs into actionable design
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hospital for the Royal Veterinary College, located within walking distance of Camden, Euston and Kings Cross Stations. Our hospital is patient focused, making animal welfare a top priority. We hold numerous
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research to understand health services and systems, alongside applied research to support clinicians, managers, and policymakers. Our work brings together a wide range of methods, including quantitative
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related field. They will have a background in designing and running mixed-methods studies within applied health or care research, preferably in psychiatry, primary care mental health or psychology
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management. About You You will be an expert in the development and implementation of compliance frameworks within complex organisations, including the application of relevant methods, tools and approaches