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metabolomic profiles, environmental exposures, and cardiometabolic health. You will do this by analysing unique, high-dimensional OMICs data generated within Exposome-NL. You will work closely with leading
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climate data to study occurrence of tundra fires and subsequent regreening across climatic gradients; Remote fieldwork in fire-affected and pristine tundra in the Sisimiut – Kangerlussuaq region, in
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bottom-up approaches for investigating the mechanisms of chaperone-mediated protein folding. Your responsibilities will include: conducting independent experimental work and perform data analysis
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will also carry out this mission in the outside world through teaching, delivering lectures, providing information, and participating in public debates. If you wish, you can combine this position with
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Application deadline: 21 July 2025 Apply now Are you passionate about environmental health, data science, and AI? Do you want to contribute to groundbreaking research at the intersection of technology, urban
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provide intuitive, human-interpretable explanations for complex model predictions derived from Earth Observation data, including high-resolution satellite and aerial imagery. You will engage in a
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based hydrological modelling with observational data. The research involves setting up an integrated hydrological model that collects both vertical and lateral hydrological processes, from the atmosphere
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assessment of policy risks and resources for zoonoses in relevant policy and regulatory documents; apply the One Health-SMART approach for systems mapping and analysis, collecting relevant information from
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of collecting relevant information from literature and stakeholders, building an HPAI transmission model and building the agent-based simulation model. You work with a consortium of researchers in the Netherlands
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incorporates data-driven methods to optimise large-scale renovation flows (Verbouwstromen). By bringing together contractors’ resources, clusters of buildings, and smart operations planning, PRE-MADONA