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PhD: Physics-informed AI-modelling of land surface processes Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 22
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background in hydrology, earth system science, atmospheric science, agroecology or other appropriate fields. You will work on the project “Physics-informed AI-modelling of land surface processes in a global
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, including biodiversity conservation, carbon sink, energy production, fisheries, aquaculture, transportation, and tourism. Proponents emphasize the benefits of a diversified blue economy for achieving multiple
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-develop practical approaches through workshops and working sessions. You will embed yourself in ongoing change processes and help collectives envision and develop the organisational and digital tools
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techniques); giving mathematical proofs of their correctness and efficiency; building state-of-the-art implementations of these new techniques (e.g., by leveraging data-parallel functional array programming
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processes and help collectives envision and develop the organisational and digital tools required for broader participation. You will be part of a cohort of 11 PhD candidates from multiple Dutch universities
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processes using temperature loggers together with existing frost-cracking and thermal-stress models. Measuring sediment supply from rockfalls and debris-flow sediment movement using UAV surveys carried out
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been much research about the benefits and outcomes of co-creation and co-design processes for nature-based solutions and the importance of engaging with a multitude of actors to ensure just processes and
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connections. Recently, there has been much research about the benefits and outcomes of co-creation and co-design processes for nature-based solutions and the importance of engaging with a multitude of actors to
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; Process and interpret complex datasets to identify exposure patterns and determinants; Design and evaluate intervention strategies, including HEPA filtration and behavioural guidance; Collaborate with