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vision. The position is available for up to 30 months and part of a project supported by the Independent Research Fund Denmark led by Professor Søren Krogh Andersen. The starting date is March 1, 2026
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interdisciplinary environment. A solid background in at least one of the following areas is preferred: artificial intelligence, artificial vision, brain–computer interfaces, neural engineering, or computational
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one of the following topics: extended reality (virtual reality, augmented reality) human-computer interaction computer vision The capability to successfully conduct research projects in
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attention and color vision. The position is available for up to 30 months and part of a project supported by the Independent Research Fund Denmark led by Professor Søren Krogh Andersen. The starting date is
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mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us
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Vision Profiler (UVP), and to analyse its spatial and temporal variability. This will be done by combining different data sources and machine learning (ML). Data used for this ML approach include - a
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demanufacturing and advanced AI. Building on our infrastructure for product identification, computer vision, and lifecycle assessment, we will launch the REINFUSE project in 2026, a four-year Flanders Make SBO
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programming skills Preferred Qualifications Track record of top-tier machine learning publications Experience with machine learning on medical images Experience designing language model or vision–language model
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wildfires and their impacts on both the stratosphere and climate combining different model systems. The position is to be filled by 1 May 2026 or as soon as possible thereafter. Expected start date and
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project lead Dr Janice Attard-Johnson and with co-lead Professor Sarah Bate to prepare materials, design and programme experiments, participant recruitment and data collection, develop and conduct