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We are seeking a full-time Senior Research Associate to join the Computational Health Informatics Lab at the Department of Engineering Science, based at the Institute of Biomedical Engineering in
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difficulties in the research projects. It is essential that you hold a PhD/DPhil in a quantitative discipline (eg Operations Research, Management Science, Statistics, Machine Learning, Applied Mathematics
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out rigorous and impactful research into the computational mechanisms of human learning using deep neural network models, and disseminating the findings within the research group, across the wider
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Disease Research Programme. This role focuses on advancing early diagnosis and risk stratification in individuals with inherited cardiac conditions through cutting-edge imaging research. The successful
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researcher with specific interests in randomised algorithms, computational counting, or related topics. Applicants will hold a PhD in the field of Computer Science, Mathematics, or closely related. Application
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researchers will extend and apply the ideas of active matter physics in biological contexts, developing theories and cell-scale and continuum computational models. The work will focus on identifying physical
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hold a PhD or MSc in Systems Biology, Biostatistics, Physics, Mathematics or a related subject. Experience with mathematical modelling of biological systems and the ability to effectively use statistical
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work effectively. Being enrolled in a PhD programme is preferred but not essential. Excellent communication, organisational, and IT skills are essential, along with the ability to work independently and
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have or be close the completion of a PhD/Phil in molecular or cell biology or neuroscience or a relevant area together with relevant experience. Experience in mammalian cell culture and analysis
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Biostatistics, Mathematics, Statistics, Computing, Mathematical Biology or a related subject. You will have expertise in making sense of microbial genetics. Proficiency in a high-level programming language is