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This is a fulltime 19 month position starting from 1 February 2027 or as soon possible. The primary duties of the postdoc will be to: - Develop a dynamic access control model that supports multi-tenant
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Are you interested in advancing our understanding of fracture and damage tolerance in fibre reinforced polymer composites, and in contributing to the development of new modelling approaches
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grant project “Driving innovation in crop resilience through Comparative QTLomics.” The selected candidate will contribute to five main objectives: 1. Apply large language models (LLMs) to collect
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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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behaviour change theory (e.g. COM-B, the Theory of Planned Behaviour, or the Value-Belief-Norm model) as applied to sustainability or circular economy contexts. Experience with citizen science, co-creation
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role in developing and implementing novel computational models within a boundary element framework, coupling the BEM with models for flow separation, viscous drag and cavitation. There is room to shape
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; survey design and online experimental methods; quantitative data analysis, preferably including choice modelling, willingness-to-pay analysis, segmentation, multivariate statistics, or related methods
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to recruit a talented researcher for a 2-year, full-time postdoc in machine learning from 1 October or soon thereafter. Your work tasks We are looking to recruit an excellent postdoctoral fellow to apply
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with sustainability assessment methods, including life cycle assessment and related modelling approaches, and you have applied these in cases and analysis related to biobased products and the bioeconomy
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can find more information about the postdoc positions available in the areas listed here: https://math.au.dk/en/about/vacancies/postdoc/ When applying, you will be asked to indicate, which of the areas