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PhD position: Global soil mapping with process-informed machine learning Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline
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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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cultural analysis; contributing to the development of a theory of the queer intellectual in close collaboration with the research team (including the PI and the Postdoc); producing a PhD dissertation, as
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intellectual in close collaboration with the research team (including the PI and the Postdoc); producing a PhD dissertation, as well as one peer-reviewed article and one chapter for a final edited volume
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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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communicate by deciphering: (1) which signalling molecules do plants use to recruit these microbes to their roots, (2) what signals do suberin-inducing microbes send to the plant and (3) how do plants integrate
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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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project is comprised of 2 PhD positions and 2 postdoc positions which will be filled during the period September 2026 - September 2031. You will join a collaborative research group that also includes PhD
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3 Apr 2026 Job Information Organisation/Company Utrecht University Research Field Computer science » Cybernetics Computer science » Programming Engineering » Computer engineering Engineering
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Switzerland, the project aims to better understand urban densification as a contested process of land rent creation and redistribution, thereby exposing tensions among actors, values, discourses, and