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components: (i) development and validation of a fit-for-purpose questionnaire instrument to quantify individual multilectal experience (engagement with, and exposure to, dialects and written standards); (ii
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for simulation and modeling of wave dynamics, and for uncertainty quantification of extreme events. The project will combine stochastic mathematical models of wave physics with advanced computational methods
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big data and advanced methods for modeling exposures, we will establish real-world patterns of hormonal contraceptive use and mental disorders, and identify potential moderating factors such as
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, hybrid models, bio-inspired approaches, multi-agent systems Experience with real-time or embedded systems, prototyping, open source development All candidates and projects will have to undergo a check
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under uncertainty and decision support through combining observed data and mathematical models. The position is available from 19.08.2026 and we expect that the candidate can start the position no later
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, sensitivity to modeling choices, and complementary empirical tests as essential components of trustworthy unsupervised learning in high-dimensional settings. Causality will be used as one analytical lens
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., HTS data handling and analysis) and ecoinformatics (e.g., distribution modelling using R) • Field work in the tropics • Experience in chromosome cytology and/or morphometrics The evaluation
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at the Institute of Theoretical Astrophysics at Blindern, Oslo. Job description Constraining gravity and cosmological models using the Euclid survey, supervised by Assoc. Prof. Hans Winther. The Euclid
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Fabrication of simple electronic and nanophotonic devices Optical and electrical characterization of quantum emitters Defect modeling and identification The PhD research fellow will be affiliated with the Solid
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associated with more reliable structure discovery. The project adopts a unified and assumption-aware perspective on evaluation, emphasizing robustness analysis, sensitivity to modeling choices, and