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://www.tudelft.nl/ewi/over-de-faculteit/afdelingen/applied-mathema… ) is offering a full-time PhD position in the area of Multivariate dependence modelling and statistical machine learning algorithms for patient
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Specific Requirements You hold an MSc in Statistics, Mathematics, Artificial Intelligence, or a closely related discipline; You have a strong background in quantitative modeling enabling the development
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PhD position in the area of Multivariate dependence modelling and statistical machine learning algorithms for patient risk profiling. In partnership with RECENTRE (see https://www.4tu.nl/recentre/), a
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educational technology. You will become part of the Department of Methodology and Statistics and will join an active research group in psychometrics. This project is supervised by dr. Maria Bolsinova, dr
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, MASLD, and disease phenotypes (Obesity, Type-2-diabetes) collected in European population studies. You will apply multivariate statistical models and AI-assisted knowledge graphs to guide
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deficits, such as those caused by glaucoma. You will make use of experimental and theoretical techniques, such as sensorimotor analysis and Bayesian statistical modeling, to create diagnostic and screening
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? Then this is the PhD position for you. Your job The department of Methodology and Statistics has a job opening for a PhD candidate. In this position, you will develop novel statistical algorithms
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carry out research at the frontier of generative modelling using concepts from statistical physics and neuroscience. For example, we have shown that the phenomenon of symmetry breaking is central to
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models available. Project description Nonparametric statistical learning provides a flexible and data-driven approach to choice modeling. Recent advancements have improved its economic interpretability and
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languages and statistical software such as Python, R, Stata or SAS; Knowledge of quantitative modeling of financial markets, econometric techniques, machine learning, or quantitative empirical research