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The Department of Ecoscience at Aarhus University invites applications for two postdoctoral positions to strengthen our research on image recognition, computer vision and deep learning applied
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imaging. This position offers the opportunity to develop cutting-edge platforms for real-time monitoring of human tissue metabolism in physiologically relevant models. You will play a key role in our
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the project, we will use large-scale medical images primarily from Denmark, to build domain specific large vision models for radiotherapy tasks, including image segmentation, dose prediction and treatment
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for security and export control, open-source background checks may be conducted on qualified candidates for the position. DTU Health Tech With a vision to improve health and quality of life through technology
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, that can be documented by a publication record in relevant venues. Solid understanding of state-of-the-art embedded machine learning techniques. Experience in system-level programming, developing prototype
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. Within the scope of the project, a small-scale prototype will be tested in AAU Energy’s state-of-the-art wave tank to characterise static and dynamic behaviour under wave and current loading
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, load modelling, soil–structure interaction, and relevant degradation and failure mechanisms over extended service periods. Within the scope of the project, a small-scale prototype will be tested in AAU
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for the position. DTU Health Tech With a vision to improve health and quality of life through technology, DTU Health Tech engages in research, education, and innovation based on technical and natural science. We
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an interdisciplinary academic team Preferred Qualifications • Experience with radiating component development from initial concept to prototype validation. • Familiarity with satellite communication system