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should have a strong background in quantitative medical imaging and: 1) image processing of the cardiopulmonary system or 2) a strong epidemiological background allowing them to utilize the output of
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a Master’s degree in computer science, image analysis and machine learning, engineering physics, data science, applied mathematics, molecular biotechnology engineering, or another related field; or
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 16 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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biology, physics, computer science, and engineering. For more information about the Dubochet Center please visit our website: https://dci-lausanne.ch/ . Informations Only applications submitted through
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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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-based modelling -individual support for researchers across BlueMat in solving image analysis challenges, especially segmentation and quantitative extraction Your profile -PhD in computer science
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requests from funding agencies. Job Requirements: Master’s degree in Remote Sensing, Agricultural/Electronic/or Biosystems Engineering, Plant/or Computer Science, Agronomy or relevant fields from a
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medical images. Experience in computer programming. Preferred Qualifications Knowledge of 4D Flow MRI data processing and analysis. Knowledge of cardiovascular physiology. Experience programming in
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length scales. Develop computer-vision / image-processing workflows for TEM videos, e.g. preprocessing, segmentation, tracking, event detection, and robust quantification under low SNR and imaging