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statistical skills. 6. Facility working with analysis software. Desirable Qualifications: Computer programing in Matlab, Python, C/C++ or similar. Expertise in machine learning methods and applications
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) microscopy, FLIM, STED, lattice lightsheet microscopy, fluorescence correlation spectroscopy (FCS), image processing and analysis and spectral imaging. More information about the ABIF can be found at: http
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Imaging Leader - Faculty Virginia Tech Virginia Tech (VT) seeks to recruit a senior or mid-career level biomedical imaging technology innovator to join the faculty at the Fralin Biomedical Research
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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: Solid experience in experimental ultrasound imaging Solid experience with ultrasound sequence programming Solid experience with ultrasound image reconstruction and signal processing Desirable skill
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Biological/Biomedical Sciences Computer/Information Sciences Medical - Research Internal Number: A-179992-4 General Description Laboratories in the Department of Biophysics and Biophysical Chemistry at Johns
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 6 days ago
, and behavioral interventions, Editor(s): Jihyun Kim, Hayeon Song, Technology and Health, Academic Press,2020, Pages 109-128, ISBN 9780128169582, https://doi.org/10.1016/B978-0-12-816958-2.00006-X . Liu
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these sensors. KEY RESPONSIBILITIES: Develop course material and teach graduate level courses within the image processing track of the Electrical Engineering and Computer Science Program. Provide direction
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The Department of Electrical and Computer Engineering at the University of Virginia is accepting applications for research scientist position for machine learning methods for magnetic resonance
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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