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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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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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11 Apr 2024 Job Information Organisation/Company UiT The Arctic University of Norway Department Department of Mathematics and Statistics Research Field Physics Mathematics Mathematics » Statistics
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prominent place in Scandinavian mathematics. The department consists of three divisions: mathematics, computational mathematics and mathematical statistics. Researchers at the division of mathematical
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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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Institut Supérieur de l'Aéronautique et de l'Espace | Toulouse, Midi Pyrenees | France | 3 months ago
mathematical and signal processing background, with strong skills in Matlab/Python. Knowledge on: GNSS; estimation theory; statistical analysis; are a plus. Demonstrated interest in remote sensing, GNSS, signal
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. Analyses will include information from population-based cohorts (e.g. the EAGLE consortium ) and clinical collections (e.g. samples from the Simons Foundation ). Statistical analyses will include
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. The theory will build upon ideas from information topology, information geometry, and statistical modeling. We will aim to address the question: “How can one detect and characterize emergent properties of real
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or Statistics or Business Intelligence, or Artificial Learning and Intelligence, or Signal Processing. o Skills in software development and databases. o Good general scientific background, particularly in
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the data to statistically predict match outcome and league position. Initially, these models will be based on legacy data from our project partner, Scarlets Rugby. This dataset comprises individual athlete