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is looking for: PhD position in chemical complexity of textile production We are looking for a PhD candidate who will work to document and map the flows and environmental impact potential of chemicals
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and Sport. What are you going to do Your PhD research will span several interconnected activities: Mapping the current regulatory and policy landscape for planetary health governance , including
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of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate
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of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate
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through European scale mapping of the spatial locations of restoration and rewilding; 3) simulating scenarios of potential nature restoration locations under alternative priorities and changing land use
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mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room
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, visionary, ethical, collaborative, curious,…). An engineering-oriented attitude (can-do, will-build, has-tested,…) Strong programming skills (e.g., Python) and app/web development (APIs, databases, front-end
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scenarios. Your research will map multilevel governance structures and you will co‑create mitigation strategies through participatory workshops. You will model farmers’ adaptation behaviour using agent‑based
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their social safety at the workplace. You will be trained in a mixed-method approach (Group Concept Mapping) that you will use to examine PhD candidates in a systematic way how they best see their social safety
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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