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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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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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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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development. For more information, please visit Working at Utrecht University . Selection process As Utrecht University, we want to be a home for everyone. We value staff with diverse backgrounds, perspectives
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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
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you fascinated by how nitrogen deposition and soil processes shape
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encourage you to keep investing in your personal and professional development. For more information, please visit Working at Utrecht University . Selection process As Utrecht University, we want to be a home
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information, please visit Working at Utrecht University . Selection process As Utrecht University, we want to be a home for everyone. We value staff with diverse backgrounds, perspectives and identities