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related to models and multiple sources of data describing ecological dynamics. The PhD project will address the following aims: 1) Develop efficient tools for learning about models from data, 2
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in particular artificial intelligence (AI)—to study genetic and epigenetic alterations in cancer. ICGI is recognised for its work in digital pathology, where AI is used to develop new models
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models or second-order meta-analytic models). For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294982/postdoctoral-fellows-in-educational-measurement Where to apply
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for Catalysis and Organic Chemistry at the Department of Chemistry. The group has extensive experience in computational modelling, reaction mechanisms, and machine learning for catalyst design and discovery. Nova
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results in foundational neural models, where models learn from large unlabelled image datasets, but also on additional data like clinical reports or electronic health rec-ords. The work will be done in
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modelling knowledge, incorporate reliability/uncertainty, and/or explainable models. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/293458/phd-research-fellow-in-deep
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work on adapting or developing marine foundation models. Self-supervised learning and active learning are also possible research topics. You can also focus on challenges related to modelling physics
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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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environment that connects experts ranging from theoretical modelling to biomedical applications. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294597/phd-research-fellow
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will be involved in the ESA ARRAKIHS satellite mission with the main goal of understanding the impact of dark matter models and baryonic processes in faint substructures (e.g., dwarf satellites and