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, engineers and PhD candidates. The PhD candidate is expected to develop an advanced engineering noise prediction model for efficient computation of sound propagation in a range-dependent atmosphere where
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addition to developing task-specific predictive models, VAP prediction will serve as a downstream use case to evaluate and benchmark the performance of the proposed model. The project will address key, long-standing
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metocean and biogeochemistry models accounting for climate change impacts across Europe (from the Nordic Seas to the Black Sea and Mediterranean Sea) and the Pan-Arctic region. The PhD project focuses on new
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, utilisation of natural resources, shipping, predictive modelling, or climate risk Core courses in probability and statistical inference, optimisation, microeconomics, scientific methods Elective courses in
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project “ComDisp: Community-Centered Modeling of Housing-Related Health Disparities.” ComDisp develops a grassroots modeling framework to predict health disparities under different climate change scenarios
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/work tasks: The position is part of the Belmont Forum project “ComDisp: Community-Centered Modeling of Housing-Related Health Disparities.” ComDisp develops a grassroots modeling framework to predict
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accomplished through a combination of experiments and computational methods across various length scales. Such a modelling framework could enhance the prediction of the capacity and crashworthiness of components
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exacerbated by the occurrence of severe weather conditions, which have already been predicted to increase in the future across Norway. Addressing the challenges of emerging contaminants requires a paradigm
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leader will be the Head of Department. About the project Modern control systems rely on being at least partially predictive while digital twins also must maintain a state model of the targeted cyber