41 deep-learning Postdoctoral positions at Duke University in Ireland-University-Ranking-2024
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join a highly collaborative, interdisciplinary research environment focused on developing and applying cutting-edge machine learning and deep learning methods to abdominal imaging. Working alongside
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deep learning for CT image analysis and reconstruction Computational and digital-twin models for preclinical imaging Analysis of longitudinal and dynamic imaging data Development and validation
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processes. Ensure consistency and accuracy across imaging datasets and labeling workflows. Machine Learning & Model Development Support the design, development, and optimization of machine learning and deep
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established skills and a strong aptitude to learn new skills. Communication · Fluent in English (reading, writing, and speaking). · Proficient in giving scientific presentations, with demonstrated experience
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Summary: Duke University is a world-renowned research institution. Currently, we are looking for a Postdoctoral Associate with expertise in deep learning to participate in a research program focused on
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or physics Generative AI/transformers, agentic AI, deep learning Computational genomics, network modeling, spatiotemporal/functional data analysis, time-series Strong programming in R and Python; best
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communications, orthogonal time frequency space modulation, radar/sonar signal processing, and machine and deep learning. WORK PERFORMING: Individual will perform research generally in the area of statistical
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, deep learning Computational genomics, network modeling, spatiotemporal/functional data analysis, time-series Strong programming in R and/or Python; best practices in reproducible research Excellent
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is required. Deep knowledge and experience in working with virus surface glycoproteins, demonstrated with peer-reviewed publications, is a requirement for this position, and the candidate must have at
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leading experts in autism research, computer vision, machine learning, psychiatry, and developmental science to develop innovative technologies that improve how caregiver-child interactions and