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techniques for robust perception in challenging underwater environments, including visual (and acoustic) sensing to enable reliable object detection, scene understanding, and interaction. You will thus
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Primary supervisor - Prof Larissa Samuelson We invite applications to an exciting opportunity for fully-funded a PhD studentship working on a cutting-edge project examining early word learning and
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, support student-athlete health, and well-being, and enable scientific and educational research. The candidate will assist with data curation, creative development of data visualization and analysis tools
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high cor
on unravelling the origin of the elevated corrosion rates of AM-built Mg- and Zn-alloys. The work will revolve around micro- and nanoscopic visualization of initial micro-galvanic activity upon metal contact with
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research, including the development or integration of algorithms, decision support tools, predictive models, artificial intelligence, visualization and analysis of health data, as well as the use
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models and/or decision support systems with health or health service data Proven experience or expertise in health or health services data integration and/or data visualization techniques Participation in
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Job Description DTU Compute and the Pioneer Centre for Artificial Intelligence are excited to offer a PhD position for a talented and motivated student to join our lab at DTU led by Theodora
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meaningful ways. Data presentation – developing usable and accessible visualizations tailored to the needs of both care providers and patients, while accounting for varying literacy levels. Artificial
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of these are highly localized. Localized corrosion under a coating is however typically difficult to detect visually. Electrochemical Noise (EN) can detect this at an early stage and is not limited by geometric
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research in information and digital technologies (computer science, automation, robotics, artificial intelligence), with the aim of developing methods for representation, analysis, and control of complex