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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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publish in top venues, collaborate with leading researchers and develop your own research line within a supportive, highly visible group. Where to apply Website https://www.academictransfer.com/en/jobs
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materials. Where to apply Website https://www.academictransfer.com/en/jobs/357941/phd-position-in-explainable-ai-… Requirements Specific Requirements We are looking for a collaborative and aspirational new
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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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processes intricately linked, co-shaping urban and blue frontiers in the coastal and offshore spaces. As urbanization expands the seaward frontier of infrastructure development and blue economy development
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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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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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), the Sustainability Transitions Research Network (STRN) or the European Forum for Studies of Policies for Research and Innovation (EUSPRI). Where to apply Website https://www.academictransfer.com/en/jobs/357988/phd