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and language-based artificial intelligence (AI) methods for detecting clinical worsening in mental illness. A preference will be given to those with demonstrated research interests in speech and / or
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the clinical use of machine learning methods for the benefit of patients from a healthcare point of view. Hence, the work will be conducted in a highly interdisciplinary research environment
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of excellence. The main focus will be on developing novel voice and language-based natural language processing (NLP) methods for languages with less data than ideal for the development of cognitive tests
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quantum mechanics methods to molecules. In Tromsø, this theme is primarily represented by research concerning multiwavelet methods to describe electronic structure and molecular properties. Additionally
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collaboration with UiT’s Equality Committee and other departments. The research is organized into projects with different empirical research focuses, with feminist theory and method as a common denominator. This
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of Computer Science at UiT The Arctic University of Norway. HDL’s mission is to build and experimentally evaluate the systems, methods, and tools needed to analyze and interpret complex health datasets. The group
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snow depth products), and performing seasonal sea ice edge forecasts. The postdoc will work directly with other members of the SI/3D team, including the PI, another Postdoctoral Researcher, and a PhD