4 electric-machine-"https:"-"https:"-"https:"-"https:" Fellowship positions at Aarhus University
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computational pipelines for QTL data integration and analysis Integrate phylogenomic and functional data using machine-learning approaches for candidate gene prioritisation Contribute to software and web
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data visualization, with a track record of designing and building visualization dashboards. Research experience in human-centered AI, or in the integration of AI and machine learning methods into
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degree programs at Aarhus University, especially but not exclusively related to AI, https://digitalcurriculum.au.dk in collaboration with colleagues from CED and NAT Join as a co-teacher in a few of the
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and machine learning methods—including large language models—into the visualization pipeline. Responsibilities Lead research projects within the intersection of data visualization, human-centered AI