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better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here
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Funding for: UK/Home Students We invite applications for a fully funded PhD research scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available
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solution, e.g., event-based computing, which is particularly suitable for low-latency and low-power systems. In this promising computational paradigm, information is created, processed or transmitted only
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, we are looking forward to your scientific support at the Clinic for Radiology! We are seeking a highly motivated PhD student to join our interdisciplinary research team working on multimodal imaging
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We are seeking a highly motivated PhD candidate to join our research team in the field of mixed-signal IC design, focusing on the implementation of sense to compute paradigm. The ideal candidate
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team and has basic experience in hands-on lab work and in data analysis. Prior experience in optical imaging, nanofabrication, data processing is highly valued but not mandatory. We offer We
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organization. We invite applications from motivated candidates with passion and a strong interest in conducting research and innovation activities on crop modeling, remote sensing, and computer vision to predict
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cell biology, and experience working with plants are pluses. We offer training in advanced imaging, and various molecular & genetic skills for investigating fundamental cellular mechanisms. The lab is
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rehabilitation center, and will be embedded in the Vision and Imaging Data Analytics group at the Department of Intelligent Systems and Centre for Cognitive Science and Artificial Intelligence at Tilburg
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processes associated with CIN [1], leveraging single-cell DNA sequencing understand CIN heterogeneity [2], and development and implementation of machine learning and AI models to imaging data [3]. The student