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access, experience, and outcomes of psychological therapy for psychosis. The software has been inclusively designed with people with lived experience of paranoia in psychosis. SloMo consists of 11 modules
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focusing on the use QM/MM simulations to study targeted covalent inhibition and approaches to accelerate quantum chemistry calculations on quantum computers. Candidates should have a PhD in computational
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diverse and interdisciplinary team from recent PhD graduates in human geography or cognate fields. Applicants must have experience of undertaking fieldwork with garment worker communities and must have
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transition is possible, again subject to review. The ideal candidate: The successful candidate will have a PhD or equivalent in a relevant subject to the role. They will also have substantial postdoctoral
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degree, ideally a PhD, in health economics, medical statistics, data science, epidemiology or a related field. A clear conceptual understanding of causal inference methods such as instrumental variable
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. Literature review of technologies and commercial market scanning. Modelling, simulation and data management. Design and analysis of hardware and software. Coding, debugging, and troubleshooting. Testing
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. Perform administrative tasks related to the activities of the research group and School, including Budgets/Expenditure. 9. Supervise Masters students and act as co-supervisor to PhD students as
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degree, ideally a PhD, in health economics, medical statistics, data science, epidemiology or a related field. A clear conceptual understanding of causal inference methods such as instrumental variable
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the context of global climate change. The work will entail developing quantitative prediction models that will be integrated to wider health systems software for the predictions to be directly used for early
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or ancestral recombination graphs. You have experience in a high-level programming language. You are interested in developing open-source software for academic and applied work. You are independent, organised