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to machine learning algorithms in order to get uncertainty estimates for parameters governing the distribution of the observed data. The predictive Bayes scheme for uncertainty quantification contains a wide
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8 Feb 2026 Job Information Organisation/Company University of Oslo Research Field Astronomy » Cosmology Physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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29 Jan 2026 Job Information Organisation/Company Università degli Studi di Padova Research Field Biological sciences » Biology Researcher Profile Recognised Researcher (R2) Leading Researcher (R4
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National Lab, University of Tokyo etc.), the PhD candidate is expected to research on some of the following themes: New algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient
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the role you are applying for, please use the information provided on our website to self-assess whether the University is likely to be able to support a visa application - http://go.qub.ac.uk
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information about the Digital Security Research Group, see https://www.mn.uio.no/ifi/english/research/groups/sec/ . For more information about the Network and Distributed Systems Research Group, see: https
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collaborators (Simula, Inria, Lawrence Berkeley National Lab, University of Tokyo etc.), the PhD candidate is expected to research on some of the following themes: New algorithms for parallel/distributed AI/ML
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the distribution of the observed data. The predictive Bayes scheme for uncertainty quantification contains a wide array of open problems, both theoretical and methodological, and is a field with a fruitful interplay
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countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point for courses
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more about working at Aalto: https://www.aalto.fi/en/careers-at-aalto Check out our new virtual campus experience: https://virtualtour.aalto.fi About Finland Finland is a great place for living with