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unintentionally) Boundary objects that can be used to bridge the divide between educators and AI experts (e.g. causal DAGs, hybrid forums, games) so helping people to understand AI without undergoing formal
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, AI engineering, human-computer interaction, and social science, with lifespan perspectives. Using advanced methodologies like neuroimaging, eye-tracking, virtual reality, and neural tracking
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) inscriptions. A track record of relevant academic publications. Fluent oral and written communication skills in Norwegian and English. Preferred selection criteria Documented language historical competence Good
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research profile within the area of clinical neuropsychology or research translating cognitive neuroscience to clinical conditions is required. The candidate must exhibit a strong track record of
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will be adapted to the candidate’s background and the evolving needs of the center. Possible directions include the application of rock physics models, Bayesian inversion methods, and machine learning
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scientific track record within the area of Mathematical Geophysics. Scientific qualifications will play a major role, with emphasis on the candidate’s demonstrated scientific contributions in all
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is involved in national and international collaborations and has access to cutting-edge research environments. The objective of the fellowship is to prepare researchers to assume higher academic roles
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programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and other duties. The objective of the position is to complete research training to the level of a
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objectives. Good English and working knowledge of Ancient Greek are a requirement. More about the position The project aims to show why and how Plato conceived of the natural world as mathematically structured
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. More information on the research group can be found here: https://uit.no/research/elsys . The position is for a period of three years. The objective of the position is to complete research training