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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Demonstrated research experience in machine learning, deep learning, medical image analysis, computer vision, biomedical data science, or a closely related area. Strong programming skills in Python and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
Demonstrated research experience in machine learning, deep learning, medical image analysis, computer vision, biomedical data science, or a closely related area. Strong programming skills in Python and
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collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and
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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. Experience in
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processing, machine learning, computational imaging, and clinical translation. Beyond your individual research contributions, you will serve as a technical coach for the PhD researchers, helping to align
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 14 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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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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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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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