39 scholarship-phd-agent-based-modelling Postdoctoral positions at Aarhus University in Denmark
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policy interventions and advisory services. Assist in the design of decision-support tools based on emissions inventories, scenario modelling, and mitigation pathways. Bridge natural and social science
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– is a Danish National Research Foundation Center of Excellence based at Aarhus University. We unite leading groups in Denmark, Belgium, and Germany in an international and collaborative research
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at Aarhus University with a permanent staff of seventy employees who work in two departments delivering impartial and evidence-based public sector consultancy for the Danish police. The Section of Forensic
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and group affiliations, both behaviourally and neurally. Your job responsibilities As Postdoc in Neuroscience your position is primarily research-based assignments. You will contribute
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imaging methods complemented by in house X-ray imaging (axia.au.dk). Additionally, X-ray fluorescence, scattering, diffraction-based imaging will be employed. The biological and bioinspired materials group
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; Collaborating closely with the ENGREENIT’s PhD candidate (starting 12 months later than the PostDoc researcher), supervised by the Assoc. Prof. Emil Dražević, and will jointly develop the heterogeneous
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the sea, combining rich cultural life with easy access to nature. Qualifications PhD in mathematics (completed or expected before start date). Preferred research record in probability theory, analysis
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and 2005 and utilising various methods from history, digital humanities, and cultural studies. The position is 2,5 years (30 months). The position is based at the Department of History and Classical
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biopolymer science. The Department currently employs approx. 60 full time scientific staff and 80 PhD students and Postdocs, with approx. 80 thesis based Bachelor and Masters students and visiting staff and
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July 2026 and in other dissemination activities. Qualifications Applicants must have a PhD degree or must document equivalent qualifications in a relevant field related to Old Norse studies, for instance