40 phd-mathematical-modelling-ecological-modelling Postdoctoral positions at Aarhus University
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motivated candidate who has A PhD in agricultural science, crop modeling, agroecology, digital agronomy or similar Collaborative skills and ability to demonstrate commitment in teams A fondness of taking the
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Applications are invited for a 2-year position in the field of CFD and modeling of heat pumps at the Department of Mechanical and Production Engineering, Aarhus University, Denmark. Expected start
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Aarhus University, Department of Mathematics Position ID: MATHAU-POSTDOC2 [#27005] Position Title: Position Type: Postdoctoral Position Location: Aarhus, 8000, Denmark [map ] Subject Areas
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The Department of Mathematics at Aarhus University , Denmark, a top 100 university, is seeking top early-career researchers for a number of attractive one to two year postdoctoral positions within
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The Department of Mathematics at Aarhus University , Denmark, a top 100 university, is seeking top early-career researchers for a number of attractive one to two year postdoctoral positions within
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The Department of Computer Science, Aarhus University invites applications for postdocs and PhD students. Supported by a generous ERC Advanced Grant and a Villum Investigator Grant from Villum
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The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in Precision Agriculture and Soil Health, starting 01-01-2026 or as soon as possible thereafter
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The Department of Agroecology at Aarhus University, Denmark, is offering a postdoctoral position in wetland biogeochemistry for resilient ecosystem restoration, starting 01-03-2026 or as soon as
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read more about the department here and about the faculty here . About the research project This research project addresses the critical gap in experimental models for systematically investigating
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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