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techniques, different histological methods and advanced imaging. Contact For further information about the position, please contact Associate professor Anett Kristin Larsen : phone: +47 77 62 52 12 e-mail
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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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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