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work and how they might be misused or abused (both intentionally and unintentionally) Boundary objects that can be used to bridge the divide between educators and AI experts (e.g. causal DAGs, hybrid
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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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will be attributed to individual suitability and qualifications. Experience with JSON schemas, DevOps (deployment using Docker on Kubernetes), and use of databases for tracking requests and progress
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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