32 scholarship-phd-agent-based-modelling Postdoctoral positions at Aarhus University in Denmark
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at the highest international level, to offer research based teaching at Bachelor of Science, Master of Science and PhD levels, and to exchange knowledge with other areas of society, e.g. by offering our expertise
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collaborate with PhD and other post doctoral fellows, in cross-disciplinary collaborations with other research groups both national and international as well as with industrial partners. Qualifications A PhD
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on climate impact research and process-based modelling of biogeochemistry, agronomy, biology and geography from Aarhus University and University of Copenhagen, as well as international partners. Field
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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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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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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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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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; 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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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