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Experience in computational cardiovascular biomechanics Experience in medical image segmentation Experience in Python programming or a similar programming language Experience with machine learning models Good
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during sitting, walking, running or performing sports; or (ii) generative machine-learning models for physiologically realistic avatar construction from image or point-cloud data. Qualifications
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analysis methods for image data or time series data. Personal characteristics Willingness to learn new fields in a multidisciplinary research environment. Excellent communication skills. Drive to transition
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checks involve contacting the finalists’ current and prior places of employment to ask whether there have been substantiated findings of misconduct that would violate the University’s Faculty Code
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University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Good experimental skills will be considered an advantage Experience with image processing will
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Regular Job Code 9742R5 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Required Qualifications: * Ph.D. or Masters with equivalent experience in Computational