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, numerical analysis, approximation theory, or equivalent subjects. Alternatively, you have gained essentially corresponding knowledge in another way. Candidates should have experience in the following
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engineering (focusing on deep learning for computer vision), and the division of statistics and machine learning at the department of computer and information science (focusing on the theory behind machine
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, statistics, machine learning, control, computer science, or a related area that is considered relevant for the research topic of the project, or have completed courses with a minimum of 240 credits, at least
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change when firms develop or adopt AI models how firms can retain strategic control in an economy where global platforms often set the rules of the game. You will work closely with both startups and
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-temporal machine learning method development, including: generative models for grid-based and particle-based spatio-temporal data; controlled generation methods for data assimilation; and graph-based multi
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. The research in the PhD project will focus on core spatio-temporal machine learning method development, including: generative models for grid-based and particle-based spatio-temporal data; controlled generation