20 machine-learning-"https:"-"https:"-"https:" "Computer Vision Center" Postdoctoral positions at Aalborg University
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Language Model Security”) https://vbn.aau.dk/en/projects/linguistically-motivated-language-model-security/ , and an Erasmus+ project on AI-based Personal Language Learning Assistants in collaboration
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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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experience in machine learning, where experience in natural language processing (NLP) is highly desirable. • Experience or education in health data science or a health-related field is a plus. • Good
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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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interests. Scientific dissemination is expected to focus on leading Human-Computer Interaction venues. For further information about the project, see: https://dff.dk/en/our-funded-projects/meet-the
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interface between mechanics and machine learning? We are looking for a postdoctoral researcher for a fixed term, full time position at the Department of Materials and Production on Aalborg campus
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prototyping in service design through lectures and participatory workshops. Teaching and supervision will take place within Aalborg University’s problem-based learning approach. You will also supervise
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genuine enthusiasm for working in a collaborative, interdisciplinary, and international research environment. Who we are The position is based at the Center for Microbial Communities, which brings
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focus on digital health. Apart from striving for excellence within specialized disciplines, it is our vision to foster interdisciplinary collaboration between health professionals and engineers, focusing
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Collaborative Programme, “Synthetic health data: ethical development and deployment via deep learning approaches (SE3D)” which is a collaboration between Head of Center and Professor Martin Bøgsted