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and a good grasp of research designs and methods. For more information, see the complete job advertisement on the SDU job portal via the 'Apply' button above. Application deadline: 22 March 2026
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researchers and accompanying family members, including a relocation service and an AU Expat Partner Programme . You can also find information about the taxation aspects of international researchers’ employment
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research sections with around 320 highly dedicated employees, of which approximately 50% are scientific staff. More information can be found here . We believe in encouraging inclusion, acceptance, and
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research sections with around 350 highly skilled employees, of which approximately 50% are scientific staff. More information can be found here . We believe in encouraging inclusion, acceptance, and
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analysis) Data collection, documentation, and basic data analysis Contribution to reporting, presentations, and potentially scientific publications Supporting collaboration within the research group and with
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the implementation of PT in healthcare: unknown mechanisms of action; lack of clinical gold standards; legal/regulatory obstacles; and ethical/societal challenges. More information can be found on the INTEGRATE home
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the agricultural pest, Spotted Wing Drosophila in current and future climates. This includes exploring mechanistic distribution models involving experimental data on environmental tolerances such as
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hardware-in-the-loop testing of integrated energy systems. The candidate is expected to have a solid understanding of system monitoring, experimental data management, and validation of thermal systems, as
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Aarhus University with related departments. Contact information Before applying or for further information, please contact: Associate Professor Aurelien Dantan, +4523987386, dantan@phys.au.dk . Deadline
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
on “Integrating AI into Aquatic Ecosystem Models to Decode Ecological Complexity” funded by Villum Fonden. Within that project, the focus is on exploring novel ways to infer information from environmental data