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Hoppa direkt till innehållet Internt tekniskt fel Något gick tyvärr fel under hämtningen av sidan. Den här typen av fel brukar vara tillfälligt, så försök gärna igen om en stund. Du kan också försöka gå till Startsidan Internal server error We're sorry, something went wrong when we tried to...
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/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We focus on data-driven models for complex and temporal data
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description and working tasks The project will develop privacy-aware machine learning (ML) models. We focus on data-driven models for complex and temporal data, including those built from synthetic sources
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for molecular dynamics (MD), slashing computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with
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postdoctoral researcher with a focus on AI trustworthiness modeling on multimodal data and machine learning models. The Department of Computing Science has been growing rapidly in recent years, with a focus on
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trustworthiness modeling on multimodal data and machine learning models. The Department of Computing Science has been growing rapidly in recent years, with a focus on creating an inclusive and bottom-up driven
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: detection of objects and relations between objects, and use of these relations to infer new knowledge (i.e. reasoning); (ii) explore object affordances, learn the consequences of the actions carried out and
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, and use of these relations to infer new knowledge (i.e. reasoning); (ii) explore object affordances, learn the consequences of the actions carried out and enrich the knowledge base (i.e. learning by
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. About the research project As a post-doc in this project you will work on application of x-ray imaging towards thermoplastic lignocellulose based materials and be associated to the competence centre FibRe
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project As a post-doc in this project you will work on application of x-ray imaging towards thermoplastic lignocellulose based materials and be associated to the competence centre FibRe . The aim to advance