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-NorthWind webpage for more details): · Hybrid Multiscale Modelling · Hybrid Physics-Machine Learning Analyses · Coupled Atmosphere-Turbine Models · Uncertainty Quantification in Hybrid Frameworks We offer
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analyses or game theoretic analysis. Experience with large language models, machine learning, and/or programming in R or equivalent programs is an advantage but not a requirement. The evaluation of
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1st August 2026 Languages English English English The Department of Energy and Process Engineering has a vacancy for a PhD Candidate in Plastics Pollution Modelling and Life Cycle Assessment Apply
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system for ferry quays, containing labelled damage data as training material for a machine learning model capable of automatically classifying structural damage from drone inspection images. The project
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research within and beyond academia. The PhD candidate will contribute to furthering the development of key ecological impact models within the field of life cycle assessment. IndEcol is a pioneer in the