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Field
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statistics, with a wide range of topics in probability and statistics to choose from. The application deadline is April 23. For more details, see the advertisement: Requirements Additional Information Work
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issues. 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. Jesper Tijmstra, dr. Maria Bolsinova
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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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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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3 Apr 2024 Job Information Organisation/Company University of Gothenburg Research Field Physics » Statistical physics Researcher Profile First Stage Researcher (R1) Country Sweden Application
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Stig Brøndbo 30th April 2024 Languages English English English Faculty of Science and Technology PhD Fellow in Deep Learning and statistics for heterogeneous data Apply for this job See
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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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Institut Supérieur de l'Aéronautique et de l'Espace | Toulouse, Midi Pyrenees | France | 24 days 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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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