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of use, institutional trust, power relations, environmental justice and the articulation of management responsibilities between land and sea. * Develop and evaluate a system coupling social modelling and
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environment, collaborating with experts in atmospheric chemistry, ecology, air quality, exposure science and environmental modelling. The position offers excellent training opportunities, access to national and
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quantify intraspecific and interspecific interactions, taking into account environmental, spatial and temporal variation. TASKS: The work is based on data analysis and modelling approaches. An initial phase
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, you will contribute to methodological advances that enable state-of-the-art discrete choice models to be applied to emerging data sources across transport, health and environmental applications. In
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environment. Particularly meritorious are experience with GPS or other mobility data, PPGIS, wearable data, environmental exposure modelling, longitudinal or repeated-measures data, and programming in R, Python
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, ecotoxicology, to assess and mitigate human impacts on ecosystems. By combining measurements, experiments, and modelling, the section supports both basic environmental science and applied solutions
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sensing technologies to monitor environmental changes at various spatial and temporal scales and to develop models that address key societal challenges related to climate change, food security, and water
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Department for Energy Science is seeking candidates who wish to pursue a PhD in Energy Engineering. Your research will focus on developing and applying optimisation models to analyse the future role of
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the copan:LPJmL modelling framework (https://copanlpjml.pik-potsdam.de) to investigate the co-evolution of human land management decision-making and biophysical land dynamics. By explicitly coupling social
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will focus on enhancing efficiency, environmental sustainability, and safety in prefabricated construction. You will be responsible for: Develop simulation models by creating and validating advanced