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., probability, analysis), eager to conduct cutting edge research in the field of uncertainty quantification, in particular the theory and methods known as predictive Bayes. Predictive Bayes theory involves
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quantification, in particular the theory and methods known as predictive Bayes. Predictive Bayes theory involves getting Bayesian type uncertainty for parameters given data (i.e., a posterior type distribution
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numerical models and machine learning tools to predict loads, assess structural responses, and identify damage under extreme conditions. By combining computational simulations with data-driven approaches
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highly specialised software development group comprises about 20 full-time employees. More information is available at http://www.icgi.no and http://www.domore.no. The position is based in the Digital
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that integrate prediction and control algorithms, optimizing data transformations, offloading and distributed computing, and exploiting mechanisms such as network slicing and multi-access edge computing
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limits and human perceptual tolerances. The work will comprise designing networking and computing architectures that integrate prediction and control algorithms, optimizing data transformations, offloading
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the University of Oslo. Place of work is the Department of Mathematics at Blindern, Oslo. Ocean waves follow complex patterns influenced by wind, currents, and the shape of the seafloor. Predicting
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machine learning techniques to develop emulators for the theoretical predictions of various observables as function of cosmological parameters. The candidate will develop and use skills in topics such as
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processes (attentional control and working memory) that are known to contribute to language learning, 2) if these cognitive and neural predispositions predict individual rate of subsequent language learning
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, based on detailed studies of Earth and the solar system, is developing predictive models to identify habitable planets around other stars. Within three different research themes: (1) Planets and Early