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. The Department is in the process of initiating a medical physics PhD program which is expected to become CAMPEP accredited in two years. All faculty are expected to contribute to the educational mission with
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learning outcomes, teaching activities and assessments within the Major and across the Bachelor of Health Sciences program; contribute to quality assurance and accreditation processes relevant to the Major
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(e.g., tensor or multi-modality data). Work with other researchers and PhDs to develop AI applications related to image processing, computational imaging as well as computer vision. Lead a team of junior
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accreditation processes and support staff capability building, promote high-quality and consistent learning experiences for students, and contribute to Departmental and School initiatives and strategic priorities
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-laboratory.com/ Center for Innovation in Imaging Biomarkers and Integrated Diagnostics (CIMBID): https://www.cuimc.columbia.edu/news/new-columbia-center-will-leverage-ai-enhance-patient-care Department
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cooperation with the with the Austrian Hail Insurance. Details on AOS: https://github.com/JKU-ICG/AOS/ Possibility for obtaining a PhD and extension beyond project duration Research, development, and field
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of Medicine (MB)/Doctor of Medicine (MD)/Bachelor of Medicine and Bachelor of Surgery (MBBS) or equivalent from a recognised tertiary institution PhD in an academic field relevant to the discipline or other
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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
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Processing Magazine, vol. 35, no. 1, pp. 126– 136, 2018. [8] J. Yu and T. Huang, “Autoslim: Towards one-shot architecture search for channel numbers,” 2019. [Online]. Available: https://arxiv.org/abs
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with a brain health related research program. The ideal candidate will apply nanotechnology approaches for imaging and analysis of biomarkers of brain injury. This position is part of a strategic cluster