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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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Science including quantitative and qualitative consumer research methodologies, and experience in designing consumer studies in and out-side Denmark. Solid experience in statistical analysis are preferred
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incubation of the best research talents and ideas allows us to solve the biggest challenges in biomedical research. We stand for free, creative, and curiosity-driven research combined with a solid validation
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, and in vivo imaging • Exposure to mRNA/siRNA delivery or gene-editing systems • Solid publication record and strong communication skills Appointment and Benefits • Full-time position with an initial one
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- GRADE 7 £39,906 - £46,049 pa # An opportunity for an exceptional researcher with experience in structure determination of new solid-state inorganic materials to lead work on materials design and discovery
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in Computer Science with a focus on visual data science. An ideal candidate has a solid education in computer science, data science or applied mathematics as well as demonstrated research experience in
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The Pioneer Center for Landscape Research in Sustainable Agricultural Futures, Land-CRAFT , at the Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in
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at Aarhus University. Our research covers physics, chemistry, microbiology, social sciences, geography, and environmental economics, addressing global challenges such as pollution control, land and water
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Postdoc position to support international research and capacity-building projects employing elect...
ground-based transient electromagnetic (TEM) methods. The position is part of a Danish Ministry of Foreign Affairs funded project titled “Scaling Up Electromagnetics Surveys for Large-Scale Hydrogeological
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electroencephalographic (EEG) recordings of frequency-tagged steady-state visual evoked potentials (SSVEPs), the project will assess processing of attended and unattended colors in healthy adults performing a feature-based