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of turbidity currents in action in the deep-sea, and to develop novel technologies for monitoring these seabed sediment flows. Turbidity currents form the deepest canyons, longest channels and largest sediment
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matching post based at Teesside University); (3) nature and natural heritage (the focus of a matching post based at Newcastle University); (4) active evaluation for learning (e.g. research conducted by team
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following: Quantum chemistry (preferably of excited states) Multiscale simulations/environmental modelling Excited state dynamics Data Science/Machine learning in chemistry/Cheminformatics Molecular dynamics
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communicate complex information to specialists and within the wider academic community. Experience in leading or conducting participatory research projects, and demonstrable ability to support co-learning and
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operation · Application of artificial intelligence or machine learning in energy or engineering systems 5. Strong programming and modelling skills using relevant tools such as Python, MATLAB