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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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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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. 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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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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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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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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Aalborg University’s Department of Computer Science in Copenhagen invites applications for a PhD stipend within the Innovation Fund Denmark Grand Solutions project “AI4SE1DK – Human-Centered
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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
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a position as research assistant or postdoc in the field of Advanced Drone-Based EM Measurements and Data Processing as per October 1, 2025, or as soon as possible thereafter. The position is...
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, course/study 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