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about how you can contribute to our research, education, impact, and to the team you will be part of. Therefore, we would like to get the best possible picture of your knowledge, insight, skills, and
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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, and essential. It enables powerful applications in gas sensing, spectroscopy, noninvasive biomedical imaging, thermal vision, and energy harvesting. From autonomous vehicles to medical diagnostics and
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to the human eye, infrared light is everywhere, and essential. It enables powerful applications in gas sensing, spectroscopy, noninvasive biomedical imaging, thermal vision, and energy harvesting. From
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infrastructure-aligned IoT systems that communicate using ambient cellular signals. Our vision: an environmentally sustainable, self-powered, and truly ubiquitous IoT ecosystem. This is not a simulation nor
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adaptive image and schema descriptions for digitized books and collections of the National Library of the Netherlands (KB) for blind and visually impaired readers. Background Around 25% of the Dutch
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collection activities. Supervision will be provided by academics from various disciplines specializing in biomechanics, image processing, and computer vision, alongside orthopaedic surgeons and academics.
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doctoral student who has Competence and skills: -Strong foundation in computer vision (e.g., object detection, image segmentation) and NLP (e.g., text reasoning, language models). -Knowledge of generative AI
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neuronal connectivity in the brain. With live cell imaging, genetic perturbation, and transcriptomics (in collaboration: proteomics) we derive mechanistic insight into how ciliary signaling translates
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” (https://vr4evr.nl ), a collaboration of four universities and a rehabilitation center, and will be embedded in the Vision and Imaging Data Analytics group at the Department of Intelligent Systems and