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Field
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corresponding design flow for such hybrid configurations in the past decade. Based on these models we have developed a prototype focal-plane array that was optimized to provide wide-angle scanning up to +/- 20
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that has been generated in a prior laboratory-setting project. Specifically, we will integrate recent advances in artificial intelligence-based automated interpretation of medical images, and new knowledge
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simultaneous stimulation of these processes increases aggregate clearance. This project will employ a combination of advanced cell biology, molecular biology, live-cell imaging, and proteomics approaches. Your
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team of experienced researchers in imaging, machine learning, oncology, and pathology. We do not discriminate on the basis of sex, gender, belief, culture, place of birth or occupational impairment when
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to advance 3D imaging methods for neuroscience. Your colleagues: An interdisciplinary team working across the Cognitive Neuroscience Department and the Mental Health and Neuroscience Research Institute
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imaging technologies. Your colleagues: A dynamic, interdisciplinary team of intensivists, clinical technologists, PhD candidates, and researchers working at the Intensive Care Unit of Maastricht UMC+ In
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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
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Erasmus MC (University Medical Center Rotterdam); yesterday published | Netherlands | about 13 hours ago
PhD students, you will further perform human testing of several prototype devices developed at Delft University of Technology and you will cleverly review and interpret the measurement data
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), live-cell imaging, and transcriptomic analyses. Laboratory work will involve optimizing protocols to convert patient-derived skin cells into neurons (iNeurons). New AONs will be screened through reporter
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longer sustainable. This project pioneers a new paradigm: we design smart, low-power digital AI co-processors that learn and correct the imperfections of their analog counterparts in real-time. As a PhD