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-established field of research, these are still very much open problems. To this end, we are looking for candidates interested in developing new machine learning methods for medical image analysis, with a
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be carried out in close collaboration with researchers in wireless communications, sensing, machine learning, and robotics, with the ambition of producing contributions relevant to leading venues in
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intersection of polymer processing, materials science and Machine Learning to develop dynamic recipes for sustainable plastics. In a typical plastics production line, several types of materials are fed into
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development of secure and trustworthy AI for resource-constrained embedded systems. The research will investigate how machine learning models can be designed and deployed efficiently on constrained
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cognitive support and corrective feedback. You will apply advanced algorithms for machine learning, multimodal biosignal processing, and human-state inference, working with shared-control strategies and
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Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of secure machine learning within the general study programme Electronic and Electrical Engineering
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, particularly ADHD, using large-scale genetic, imaging, and epidemiological data from Denmark and other countries. You will apply advanced analytical approaches, including deep learning and machine learning, to
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machine learning, preferably experience in probabilistic modeling, Bayesian machine learning, or graph representation learning. Programming skills (e.g., Python) and experience with deep learning
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, computer engineering, computer science, mathematical engineering, or similar. Proven track record in the Machine Learning, Artificial Intelligence, or Robotics, reflected through contributions to major
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to Danish data sources (e.g., registry data, surveys, and organisations). Your competencies Digital methods such as machine learning based classification, computational text analysis, network