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the start date. This position is part of the research project “Numerical Analysis of Stochastic TRANsport” (NASTRAN), funded by the Research Council of Norway. The project’s goal is to develop mathematical
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. This development will build on a theoretical foundation from numerical and functional analysis, and as a starting point build on the literature related to linear operator preconditioning and nonlinear
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. The position is set to begin on February 1, 2026, although there is some flexibility in the start date. This position is part of the research project “Numerical Analysis of Stochastic TRANsport” (NASTRAN
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(CMAT) at Hasselt University. Both groups focus strongly on numerical analysis and mathematical modelling. The prospective PhD student will work in close collaboration with Carina Bringedal and Erlend
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techniques for automatically detecting and measuring subtle biases and misalignments in large-scale AI models. Behavioral Analysis & Interpretability (XAI): Probe the internal workings of black-box AI models
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the chips and demonstrate the capabilities of the PICs. The PhD will collaborate with researchers in machine learning for analysis of the recorded Raman spectra and with biologists on the utility
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the chips and demonstrate the capabilities of the PICs. The PhD will collaborate with researchers in machine learning for analysis of the recorded Raman spectra and with biologists on the utility
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://www.uib.no/en/sefas About the project/work tasks: The postdoctoral research fellow will perform quantitative data analysis using advanced techniques such as signal processing and dynamic systems modeling, and
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Conditions and Ageing (CC.AGE). Read more about the project: https://www.uib.no/en/sefas About the project/work tasks: The postdoctoral research fellow will perform quantitative data analysis using advanced
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01.10.2025. It is a condition of employment that the master's degree has been awarded. Documented experience from experimental investigations of flame acceleration and detonation phenomena and/or numerical