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Generation in Context: Object- and Interaction-Aware Generative AI Models of Language Use”. Preferred start date is 1 February 2026 but is negotiable. Job descriptionFace-to-face conversation is the primary
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surgery. Ideal candidates will have: A Master's degree in artificial intelligence, bioinformatics, computer science, physics, mathematics, or a similar field. Proficiency in deep learning and exceptional
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collaboration opportunities within our institute on topics of data, digitalization and decision support system for sustainability and circular economy. The main responsibilities within this role concern
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intersection of AI, imaging technology, and oncological surgery. Ideal candidates will have: A Master's degree in artificial intelligence, bioinformatics, computer science, physics, mathematics, or a similar
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require good employment practices. This is reflected in Radboud University's primary and secondary employment conditions . You can make arrangements for the best possible work-life balance with flexible
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. The main objective is to maximise the scientific return of the missions for the benefit of humankind. The Science Engagement and Oversight Office and the Science and Operations Department also support
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, digitalization and decision support system for sustainability and circular economy. The main responsibilities within this role concern: Establishing data exchange protocols with data providers in the sectors
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Generation in Context: Object- and Interaction-Aware Generative AI Models of Language Use”. Preferred start date is 1 February 2026 but is negotiable. Job descriptionFace-to-face conversation is the primary
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, digitalization and decision support system for sustainability and circular economy. The main responsibilities within this role concern: Establishing data exchange protocols with data providers in the sectors
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Postdoc Impact of Computational Infrastructures on Public Institutions and Administration of Justice
by taking software production as our main protagonist. We ask how software production has come to increasingly take place in an agile production environment we call ‘computational infrastructures