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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
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to contribute to cutting-edge research investigating the physiological and psychological impacts of spaceflight. Our program focuses on human analog studies to simulate microgravity and explore
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identification of phases in metallic systems such as aluminium alloys or steels. You will have demonstrated expertise in applying machine learning and computer vision techniques for the analysis of scientific
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the scope and impact of our studies. Current research themes include: The impact of GLP-1 receptor agonists on metabolic outcomes and surgical decision-making in bariatric patients Computer vision analysis
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programming background Experience in computer vision projects Experience in software or webapp development/API integration Interest (but not necessarily expertise) in medicine and radiotherapy Required
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Science, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with
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Are you passionate about pushing the frontier of catalysis science? The Center for Visualizing Catalytic Processes (VISION) at the Technical University of Denmark (DTU) is offering mutiple Postdoc
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project include two aspects: (1) based on the cutting-edge technologies from deep learning, computer vision or physics-informed machine learning, develop robust surrogate forward models to predict
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robotics paradigms on in-space servicing, assembly, and manufacturing, space debris removal, XR immersive teleoperation, robot multi-modal perception (vision and tactile), and multi-robot cooperation
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with eBeam, X-ray, and gamma radiation-treated blow flies. - Evaluate, select, and apply standard techniques of routine research; keep detailed records of data. - Use computers and laboratory