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materials. Use molecular dynamics, lattice-dynamical methods and statistical sampling to investigate local disorder, phase stability, temperature-dependent behaviour and structure-property relations
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genetic basis of plant–microbe interactions, with a particular emphasis on data integration across plant species and data types (genomics, transcriptomics). Design, adapt and use deep learning methods
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, based on a grant from Villum Fonden. The project builds on recent advances in the economics of science and innovation, applying state-of-the-art citation- and text-based measures to capture atypical
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knowledge and technology to capture and recycle carbon dioxide. The center will be based at Aarhus University in Denmark and will collaborate with industry and authorities to identify new solutions to reduce
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Engineering. The position is closely connected to our activities within developing high-fidelity models that capture the coupled thermal, chemical and electrochemical phenomena governing system performance
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use of the department's modern laboratory-, core- and animal facilities. The Department of Biomedicine focuses on innovation, entrepreneurship and collaboration with business and industry, and numerous
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. Foraging and/or herding based livelihood strategies and their relations to savannah ecosystems. Indigenous land use, including both subsistence and market production. Local institutions of property
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Technology, and partners in Italy, Cyprus and Switzerland. CIRCULARIS develops a harmonised circular economy (CE) indicator framework for food services and tests it through pilots with restaurants, hotels and
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statistics, AI and machine learning methods, including demonstrated experience in analysing multiple global change drivers, e.g. land use intensity, climate change, nitrogen deposition. Proven capability
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engineering (e.g., fusion proteins or ligand display), affinity-based targeting, or cell-uptake assays will be an advantage. Excellent English communication skills, ability to work independently and responsibly