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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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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. Integreat
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combining field sampling with laboratory experiments and statistical modelling to quantify genetic variation in complex traits, the candidate will test whether these contrasting histories have driven
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photovoltaic generation, hydrogen production, and storage alternatives with microgrid-driven power distribution. Through advanced modelling and optimization techniques, this research aims to identify optimum
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to quantify the evolution of ocean-continent subduction orogens and comparing first order model results with mountain belts on Earth. Investigating how the combination of tectonics and climate-driven surface
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University of Stavanger invites applicants for a PhD Fellowship in Geoscience - Triassic salt-sediment interactions and their impact on reservoir systems at the Faculty of Science and Technology, Department
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-term 100 % position as a PhD Research Fellow in Mechatronics is available at the University of Agder, Faculty of Engineering and Science , affiliated with the Department of Engineering Sciences
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environmental impact. By drawing on interdisciplinary expertise (spanning renewable energy engineering, power systems and energy market integration, stochastic multi-objective optimization, and data‐driven
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28th September 2026 Languages English English Norsk Nynorsk English PhD Research Fellow in Data-Driven Computational Mechanics for Offshore Wind Energy Apply for this job See advertisement UiB
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-driven surrogate models for real-time reconstruction and forward simulations. Create numerical algorithms for physics reconstruction using sparse data. Implement assimilation pipelines which integrate