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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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responsible for further developing the research plan and exploring how core CPP themes can be integrated into the project (including systemic influences on grief, self-related processes, loneliness, and
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influences on grief, self-related processes, loneliness, and cultural background). In addition, the postdoctoral researcher will take primary responsibility for the execution of the study. The project involves
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engineering, or related fields; has proven knowledge and a scientific track record supported with peer-reviewed publications in the field of quantitative assessments of water resources quality (e.g. process
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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
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physics, stochastic processes, statistical inference, and epidemiology, with SARS-CoV-2 and influenza as key case studies. Your job In this project, you will develop a quantitative theory of evolution
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peer-reviewed publications in the field of quantitative assessments of water resources quality (e.g. process-based modelling or physics informed AI) and preferably experience with planetary health
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-performance computing, natural language processing / text analysis, or privacy and ethical use of sensitive data. Has excellent level of English, both spoken and written. Teaching: Experience with teaching