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, Computer Science, Software, Natural Language Processing, or a closely related area. Candidates with strong backgrounds in NLP are preferred. Stipend 2:Safety alignment in NLP models. Using Cybersecurity expertise
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. The main case will be generative AI for architecture visualization, and possibly computer vision for understanding buildings. Candidates for this stipend should have a background in software engineering or
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delivers research-based teaching across all disciplines of the medical degree programme and conducts research within the clinical specialties. We collaborate closely with hospitals in the North Denmark
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technologies Programming skills in C++/Python and familiarity with ROS is a plus Background in human factors or human-in-the-loop systems is beneficial PhD Stipend 3: Computer Vision and Multimodal Sensing
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challenging environments, where signals are extremely noisy and distorted, and include severe linguistic variations, particularly when data and computational resources are scarce. This will be tackled using a
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interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics. This PhD project falls under Research Thrust RT3 on representation
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description In the Medical Informatics and Image Analysis group, we seek a highly ambitious and internationally recognized early-career researcher with a strong track record of scientific excellence to advance
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the interplay between qualitative and quantitative methods and data. There is a growing focus on novel computational methods such as NLP, machine learning, and AI within the group. Teaching activities in
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At the Faculty of Medicine, Department of Health Science and Technology, one or more PhD stipend’s are available within the doctoral programme: Biomedical Engineering and Neuroscience from August 1
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programme management as well as contributions to the development of teaching activities and teaching material. Emphasis is placed on the extent, to which the applicant, has developed the academic discipline