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models for multiple chronic diseases in real-world data and cohort studies. To successfully work in this position, experience of data-driven analytical approaches, machine learning and advanced
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human health. Within this mission, the Casale Group in the Health Data Science Centre develops AI methods that transform population-scale human data into mechanistic models of disease. Our research
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and the Department of Physics and Materials Science, such as seminars, colloquia, and summer schools. Your profile PhD in Theoretical Physics Excellent analytical and numerical skills Solid knowledge
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, colloquia, and summer schools. Your profile PhD in Theoretical Physics Excellent analytical and numerical skills Solid knowledge of Statistical Physics Proficient in English (C1) We offer A modern, dynamic
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integration approaches Additional Information Eligibility criteria Mandatory: *PhD in Statistics, or a related field. *Strong programming skills (e.g., R, Python, or similar). *Knowledge of statistical analysis
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omics data, and access, curate and data mine publicly available repositories such as PRIDE. The role will involve close collaboration with research team members to interpret findings, refine analytical
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position is at the Department of Business Analytics and Decisions in the work group Production and Logistics. The Department of Business Analytics and Decisions is part of the Faculty of Business, Economics
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analytical reasoning applied to observational data; A track record of authoring scientific publications; Fluency in English. Preferred High-level report writing and presentation skills; A specific experience