30 linked-data-"https:"-"https:"-"https:" Postdoctoral positions at Aarhus University in Denmark
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The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research
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Do you enjoy finding solutions to integrate and analyse large data sets of biodiversity dynamics and their drivers? Are you creative and able to couple various data flows and integrated modelling
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: Molecular Biology and Molecular Medicine, with an annual intake of ~120 students. For more information, please visit: http://mbg.au.dk/ – Department of Molecular Biology and Genetics https://nat.au.dk
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, Department of Geoscience, Aarhus University, Høegh-Guldbergs Gade 2, DK-8000 Aarhus C, Denmark: https://geo.au.dk/paleo Contact information Applicants seeking further information are invited to contact: Dr
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to pharmacological intervention. We will combine studies in GPR6 knockout mice with pharmacological approaches in rodent models, including Flinders Sensitive Line (FSL) rats, a model of depression. By linking
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& ecosystem structure under rising biosphere novelty. The work will integrate ecological, demographic, environmental and remote-sensing information to develop scenario-based forecasts of European vegetation and
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science, field ecology and biodiversity monitoring, the project aims to uncover novel links between aquatic and terrestrial ecosystems. The position is located in Risø and is available from 1 February 2027
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to experimentally derived disorder models and data from methods such as total scattering/pair distribution function analysis, diffuse scattering, diffraction, solid-state NMR and electron microscopy. Work closely
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Department of Food Science's controlled-environment testing activities in Work Package 5 of the EVOLVE project. The work will generate biological evidence linking extracellular vesicle (EV) treatments to plant
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are software representations of physical assets, processes, or systems. They leverage real-time data to mirror the behaviour and characteristics of their physical counterparts, enabling predictive maintenance