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agronomy, engineering, biology, technical oriented sciences or similar Research experience on process-based and ML models to simulate nutrient flows in agro-ecosystems Proficient skills with scripting (R
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The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in merging soil physics knowledge and data-driven modeling of soil processes and properties, starting
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tests in heat transfer models to predict the long-term behavior of the façade-TEG composites. At DTU Energy, you will have access to excellent facilities and competences for characterization and modelling
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applicants will be informed about the composition of the committee, and each applicant is given the opportunity to comment on the part of the assessment that concerns him/her self. Once the recruitment process
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disequilibrium, lacking historical baselines, or predictable succession pathways. The project will assess how these conditions influence vegetation dynamics, species diversity, functional trait composition, and
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of biodiversity and model the potential future biodiversity recovery given during land use transformation and restoration in Denmark. This involves spatial and temporal optimisation and prioritisation of land for
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spatially explicit process-based ecological model (DEB-IBM) for muskoxen in the high-Arctic through the analyses of long-term GPS and acceleration data. using the model to estimate the (cumulative) impacts
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Postdoc position to support international research and capacity-building projects employing elect...
of processing and modelling workflows that integrate EM data with other hydrogeological datasets. Collaboration with Ethiopian and Danish researchers to tailor EM methodologies to Ethiopia’s geological settings
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for catalysis and electrocatalysis. You will develop a research activity within experimental characterization of electrocatalyst model catalysts using electrocatalysis workstations, scanning probe microscopy and
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developing countries, and a potential for a new future crop in Scandinavia. Using sweet potato as a physiological model, the research will identify key metabolic bottlenecks in the plant’s source–sink