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on the monitoring and response parts, building on many earlier projects revolving around the use of UAV/drones, computer vision and machine learning, change and damage detection, and multi-data integration, such as
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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Job Summary #CA-DK The laboratory of Glenn Yiu, M.D., Ph.D. in the Department of Ophthalmology & Vision Science at UC Davis School of Medicine is seeking a full-time Staff Research Assistant to work
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pathogenic effects. The vision of the MICRO-PATH doctoral training unit (DTU) is therefore to tackle these challenges in a focused way and to lay the foundation for establishing the microbiome as a therapeutic
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including predictive modelling, computer vision and epidemiology. The student will join an established team of investigators, including statisticians, epidemiologists, image scientists, and clinicians
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science, engineering, physics, mathematics or a similar domain. There is a strong preference for an applicant with a biomedical background. Experience with medical image processing, histopathology, computer vision
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communication skills in English Ability to work efficiently, both independently as well as in a team Previous experience in the fields of soft matter, metamaterials, quantitative image analysis and programming
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infrastructure managers in developing cross-sectoral strategies to proactively shape infrastructure demand, as an alternative to the traditional and increasingly untenable 'predict-and-provide' paradigm. By
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. dos Santos is an Assistant Professor (Lecturer) in Computer Vision at the University of Sheffield. His research interests include remote sensing image processing, computer vision and machine learning
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through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software