4 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"OSU" Fellowship positions at Aarhus University
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immersive virtual/augmented/extended (VR/AR/XR) environments to support learning of scientific concepts and practices at the university-level. The main aim of this work package is to investigate how such
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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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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