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. Requirements Essential Requirements PhD Degree in a relevant scientific field (e.g. genetic epidemiology, molecular epidemiology, statistical genetics, biostatistics, health data science, etc) to be obtained max
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innovative strategies to improve human health. HT is composed of five Centers: Health Data Science, Genomics, Computational Biology, Neurogenomics and Structural Biology. The Centers work together to enable
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decision-making and research findings. Qualifications & Competencies: Minimally a PhD degree in Artificial Intelligence, Computer Science, Optimization, or a related field. Strong foundation in multi-agent
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will conduct systematic reviews of literature and collaborate on meta- analyses of original data of psychological treatments. This involves high-level searching of academic databases, synthesis of data
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Educational Technology in the School of Computer and Mathematical Sciences. The successful candidate will be a researcher in the use of technology to support cognitive and meta-cognitive skills of students
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This project will utilise the internationally unique pathogen genomic and associated meta data for all TB cases in the UK, numbering in the tens of thousands over more than a decade. This data set
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consists of several post-doctoral and PhD students with backgrounds in psychology, cognitive science, neuroscience, computer science, engineering, and physics. The focus of our research is to develop new
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synthesis science, including meta-analytic approaches, to develop holistic and actionable insights. We are seeking a scholar with a proven interdisciplinary track record, demonstrating strong collaboration
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policymaking and public health is beneficial. The ideal candidate will have: A PhD in a relevant field (e.g., epidemiology, environmental science, agricultural economics, statistics, ecology, geography
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grounded in empirical data, model-based analyses, or a combination of both. The ideal candidate will have: A PhD in a relevant field (e.g., environmental science, climate science, bio-geography) A strong