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Field
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, with a dedication to supporting high-quality work. Strong academic background with a degree in computer science, statistics, physics, engineering, mathematics, or related fields. Proficient in Python
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they are based on mathematical and statistical principles dating from the 1970s. Developing these pharmacometric models remains a laborious task where highly qualified staff spend large amounts of time. Aims
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remotely). You will have or be close to the completion of a PhD or equivalent in computational sciences (Mathematics, Engineering, Computer Science, Statistics), together with relevant research experience
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information [e.g. statistics, queries, bookings for activities/events] and respond to queries which you receive. · Liaise with staff in other areas to ensure that services are being delivered in
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of designing and developing tools to help curate and analyse imaging data. 5. Strong grasp of univariate and multivariate statistical analyses 6. Strong programming skills (e.g., Python, r, Bash
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of introductory social science statistics including Generalised Linear Models. A5 Knowledge of teaching methods and techniques for quantitative social science research methods. Desirable B1 Knowledge of advanced
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generalisability compared to traditional adaptive control methods. Rigorous theoretical and statistical analysis will be carried out to prove the effectiveness of these proposed techniques. Hence, a strong
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knowledge in statistics and experience with AI methods, techniques, tools, and application is highly desirable. Additional information: Interviews will be held on 20 June 2024. For further information and
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. The main focus of Centre for Advanced Cardiovascular Imaging is to apply statistical, multi-omics and machine learning approaches to national-scale imaging studies. About Queen Mary At Queen Mary University
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statistical methods to analyse large-scale genomic datasets and decipher evolutionary patterns. Perform wet-lab experiments aimed at validating cell-diversity. Collaborate with multidisciplinary teams