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will be ‘Marie Skłodowska-Curie fellow’. Recruitment involves physical mobility. The fellow will be part of the Human-Centered AI (HCAI) group at the Department of Information Systems, that conducts
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about the employment process . In accordance with the Freedom of Information Act § 25 (2), applicants may request that they are not identified in the open list of applicants. The University, however
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healthcare, agriculture, and industrial sectors. Building on the Tsetlin Machine , the project deals with the unresolved learning challenge of ensuring continuous model adaptation and robustness in the face of
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process. In accordance with the Freedom of Information Act § 25 (2), applicants may request that they are not identified in the open list of applicants. The University, however, reserves the right
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algorithms. However, the models are getting too complicated for humans to comprehend, and using historical and skewed training data can give unfair and discriminatory outcomes. AI can further be expensive and
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analysing device-based measurements of human movement. Proficiency in machine learning, particularly in the application of supervised and unsupervised learning techniques to analyse device-measured physical