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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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: Develop, train, and evaluate machine learning models for image processing and automated detection of animal infestations, wounds, and other indicators of susceptibility to myiasis; and apply
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a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. • Knowledge of machine learning, pytorch, huggingface etc... • Knowledge of
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, computer science, applied physics, applied mathematics, or a closely related field. At least one year of direct research experience in medical-image segmentation and three-dimensional anatomical-model
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categories View less categories Academic Discipline Biological Sciences , Computer Science , Engineering & Technology , Clinical, Pre-clinical & Health , Physical Sciences , Life sciences , Medicine
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 5 hours ago
King Abdullah University of Science and Technology: Postdoc Positions: Computer, Electrical and Mathematical Science and Engineering Division (postdoc) Location KAUST, Thuwal 23955, KSA Open Date Oct
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Research experience that includes medical image processing, Artificial Intelligence (AI) algorithm development, and scientific writing. Gain clinical experience including training in radiation oncology
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Discipline Computer Science , Engineering & Technology Job Type Academic Posts , Postdocs Contract Type Fixed Term Hours Full Time Apply on website Save job Click to add the job to your shortlist Send job Job
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Discipline Computer Science , Engineering & Technology Job Type Academic Posts , Postdocs Contract Type Fixed Term Hours Full Time Apply on website Save job Click to add the job to your shortlist Send job Job
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, Computational Biology, Computer Science, Biomedical Engineering, or a related quantitative discipline Strong background in machine learning/deep learning (e.g., CNNs, transformers, vision models