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- University of Bergen
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- NTNU - Norwegian University of Science and Technology
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- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
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technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data
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technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domainspecific knowledge with data
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; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time-to-event analysis; and statistical machine
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the mathematical and computational engine of Artificial Intelligence (AI), and therefore it is a fundamental force of technological progress in our increasingly digital, data- and algorithm-driven world
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. Wettability and capillary forces depend non-linearly on mineral surface chemistry, brine composition, and the distribution of ions and impurities in the interfacial region. Because these interactions arise from
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; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time-to-event analysis; and statistical machine
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the advances in battery technology, as it enables more precise monitoring, control, and optimization of battery performance throughout its lifecycle. By incorporating digital tools such as algorithms, and
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the Research Council of Norway. The center is in operation from 2023 to 2033 and will fund more than 60 PhD and postdoc positions. INTEGREAT develops theories, methods, models and algorithms that integrate
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career-promoting work associated with teaching, dissemination or research infrastructure/services, will be distributed over the full employment period and thus corresponding to 25 per cent of the time each
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or research infrastructure/services, will be distributed over the full employment period and thus corresponding to 25 per cent of the time each year. The employment period may be reduced if you have previously