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Field
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develop AI tools for the interrogation of subcellular proteomics data. We are interested to hear from candidates with experience in probabilistic or statistical modelling of complex biological data, such as
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an agreed area, Planning and conducting research work on the WP4 of the NETPHARM project, Works on statistical analyses of the WP4 of the NETPHARM project, Preparation of abstracts and professional
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skills (Matlab, Python). Ability to work with large datasets. Knowledge of basic statistics. Ability to work in an interdisciplinary team. At least 4 months of experience in research activities carried out
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the best outcome. Precision medicine methods leverage individual-level characteristics to help optimise treatment choices for individuals. This project will leverage recent advances in Bayesian statistical
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statistical approaches to characterise disease trajectories, develop risk prediction models, and identify factors associated with differential treatment outcomes. The findings will improve understanding of long
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-tube system. All datasets will be integrated into a comprehensive data analysis workflow, using statistical and forward modelling methods to calibrate and validate numerical models. This combined
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idea in more detail using novel genetic epidemiological techniques in large global biobanks. The student will train in 3 world leading centres and will gain skills in immunology, statistics and genetic
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that HbA1c can sometimes lead to incorrect management of diabetes. To address this problem, the project will use statistical genetics to untangle these distinct biological pathways. By separating the genetic
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diagnostics, and ecological and statistical data analysis. About the position The doctoral student will plan and carry out field and laboratory studies, analyse and interpret data, and communicate results
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growth, spatial data and GIS, and statistical analysis in R. About the position The doctoral student will plan and carry out field experiments and inventories, manage and analyse spatial and experimental