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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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at improving and refining present AI classification methodology using novel combinations of statistical methods and Deep Learning (DL). The position is for a period of four years. The nominal length of the PhD
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Information about available supervisors and PhD projects can be found on our information page for the PhD program (scroll down to ‘PhD thesis projects in mathematical statistics’). Note that only supervisors
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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
include a doctoral track and the successful applicant will be registered for the PhD program at the host institution. If the doctoral track requires a longer duration than 36 months, the details and
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Code6525 XDStreetWundtlaan 1Geofield Where to apply Website https://www.academictransfer.com/en/340010/4-year-phd-position-in-statistical-g… Contact City Nijmegen Website http://www.mpi.nl/ Street Wundtlaan
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Towards an Information Topological Theory of Emergence We are seeking a highly motivated and ambitious PhD candidate to carry out interdisciplinary theoretical research on the development of a
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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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Analytics Section at the Amsterdam Business School (University of Amsterdam ) invites applications for a PhD position in Statistics and Machine Learning. We are looking for highly motivated PhD
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) Project description: The aim of this PhD project is to investigate whether match key performance indicators (KPIs) are effective at predicting match outcome at the elite rugby union level in the URC