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and teaching. We are seeking to recruit a statistical researcher to provide statistical and epidemiological leadership for the team studying the Benefits and Risks of Cancer Treatments. The post-holder
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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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algorithms. Requirements Research FieldMathematicsEducation LevelBachelor Degree or equivalent Skills/Qualifications Required skills: · Degree in statistics, data sciences, mathematics, or related disciplines
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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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. 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 | 28 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