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or MD/PhD degree with clinical research experience, or a PhD degree in biomedical engineering, medical physics, computational science, or a related field with experience in vascular imaging research
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 18 days ago
. The Durability, Damage Tolerance, and Reliability Branch (DDTRB) conducts a broad-based research and technology program that quantifies behavior, durability, and damage tolerance of structural materials; develops
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factors assessment). You should hold a relevant PhD/DPhil (or near completion) and have publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not a
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appropriate statistical and computational methods. Prepare manuscripts, presentations, fellowship applications, and contributions to research proposals. Collaborate across engineering, cancer biology, and
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-0157/25], carried out under the First Team programme of the Foundation for Polish Science, co-financed by the European Union under the European Funds for Smart Economy 2021–2027 (FENG). Quantitative
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confocal microscopy, and quantitative fluorescence imaging, to monitor and quantify protease activity in real time. 4. Data analysis and interpretation Processing, analyzing, and interpreting experimental
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measurements, including confocal microscopy, and quantitative fluorescence imaging, to monitor and quantify protease activity in real time. 4. Data analysis and interpretation Processing, analyzing, and
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contributions to biomedical science. Be Bold. Join a research program focused on uncovering the cellular, molecular, and neural mechanisms underlying migraine and chronic pain. You'll leverage cutting-edge
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assigned Requirements A Ph.D. degree in Neuroimaging, Biomedical Engineering, Electrical Engineering, Physics, Computer Science, or other related disciplines, with experience or keen interest in processing
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of a collaborative team, led by Dr Sarah Morgan at the School of Biomedical Engineering and Imaging Sciences. The School is a world leading centre of expertise in AI for healthcare, providing