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following research areas: Transitions between institutions and families; family life, children’s psychological, emotional and relational development in and across different settings. Preference will be given
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Danish society. Read more about the department and sections here: https://bce.au.dk/en/research/key-areas-in-research-and-development What we offer The department/centre offers: a well-developed research
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at: http://mgmt.au.dk . Further information Application deadline: October 12, 2026. Workplace: Universitetsbyen 61, 8000 Aarhus C. Hours per week: 37 The minimum length of employment as research assistant
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
development programme targeted at career development for postdocs at AU. You can read more about it here: https://talent.au.dk/junior-researcher-development-programme/ If nothing else is noted, applications
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. You will be involved in the further development and application of the FlexSem model system, which is a framework developed by the model group to describe the dynamics of coastal marine systems
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international research network and good industrial and professional collaboration. Please refer to Department of Animal and Veterinary Sciences (au.dk) for further information about the department: https
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development Qualifications PhD degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field Strong experience with programming in Python, R, or similar languages
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to innovative research supporting the green transition, climate mitigation, and the development of sustainable bio-based value chains. Your profile The ideal candidate should have some of the following
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hosted at the Department of Political Science, Aarhus University, and lead by professor Lasse Lindekilde (see https://ps.au.dk/forskning/forskningsprojekter/standby ). Any questions regarding the position
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large spatial and temporal scales. Experience in the conceptualisation and development of new methodological approaches for analysing and modelling species range dynamics, functional trait variation