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, including image acquisition, processing, analysis, and interpretation Develop and validate new imaging techniques, algorithms, or software to improve diagnostic accuracy and patient outcomes Collaborate with
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mathematics. We are looking for a visionary personality with a forward-looking research agenda who will promote interdisciplinary collaboration and is willing to participate in the ongoing development in
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. Applicants should have strong expertise in computational analysis of electrophysiological data as well as proficiency in large language models and machine learning algorithms. First-hand experience in
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Apply by sending an email directly to the supervisor. The application will include: • Letter of recommendation of the supervisor indicated above • Curriculum vitæ including the list
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the development of more efficient online learning algorithms for manifold-valued data streams, with an initial focus on change-point detection, opening the door to new unsupervised data exploration methods. Next
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including the list of the scientific publications • Motivation letter • Letter of recommendation of the thesis supervisor => All the requested documents must be gathered and concatenated in a single PDF file
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the position, you will have the opportunity to drive the development of the field of Medical Image Analysis at DTU Health Tech, both in research and education. In addition, you will contribute to strengthening
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manner. Collaborative Innovation: Lead and participate in collaborative initiatives aimed at developing novel computational tools, algorithms, and models that address critical challenges in drug discovery
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the use of synthetic data in precision medicine research and applications through development of AI algorithms, tools and other processes to allow for the enrichment of clinical data sets Providing training
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/ Ability to develop new AI algorithms and statistical methods / Experience with large-scale biobank or cohort data. Strong background in Health Economics and Health Policy / Focus on Health Technology