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-based networks graph-based approaches Bayesian learning information theory Documented strong programming skills (preferably Python), for example with contributions to open-source projects, with an active
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topics such as: neural networks self-supervised learning convolutional neural networks transformer-based networks graph-based approaches Bayesian learning information theory Documented strong programming
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theories, neuroscience, and language acquisition/processing, we focus on the effects of multilingualism – for the languages involved, for the brains that house them, and for the learning and teaching of
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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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research across linguistic theories, neuroscience, and language acquisition/processing, we focus on the effects of multilingualism – for the languages involved, for the brains that house them, and for