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Field
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machine learning, deep learning, audio/image/video classification, attention mechanisms, zero/few shot learning, and evolutionary algorithms. The Research Associate should have proficient programming skills
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
that could eventually be used in the clinic. The Postdoctoral Research Associate will develop diagnostic and prognostic deep learning models for Alzheimer’s disease, using rich existing multimodal datasets
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programming ability in Python, and practical experience with a modern deep learning framework such as PyTorch. Experience working with 3D data in some form: volumetric images, meshes, point clouds, or geometric
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Department of Ophthalmology at the University of Colorado, Anschutz Medical Campus, seeks a full-time (1.0 FTE) Postdoctoral Fellow to work in the Quantitative Translational Imaging in Medicine Lab, located
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Machine learning is moving beyond centralised data and single models. Deep variational and decentralised learning sit at the frontier of this shift, and the theory that underpins them is still being written
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the postdoctoral program and together with you we will prepare a career plan, which contains the skills and knowledge you will acquire Mentor programme as a new employee at NTNU Favorable terms in the Norwegian
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, Siemens MR IDEA Image Calculation Environment (ICE), Python and MATLAB, and deep learning techniques are considered assets A strong publication record demonstrating research excellence. A minimum of one