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, continuous wave Doppler, transesophageal echo, pharmacological and exercise stress echo, Holter monitors and ECGs. Recognizes and describes abnormal findings and tailors the procedure to provide a
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, including patient handling, facility monitoring, equipment operation, and supply coordination. It is an excellent opportunity for someone who enjoys working with animals, mentoring others, and playing
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photogrammetric software, and surveying instruments. Able to use GIS software (ArcPRO, QGIS), use of Matlab/Octave, drone processing software like PixElement, Pix4d, image processing software like iWitness A drone
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Number req25477 Department AZ Veterinary Diagnostic Lab Department Website Link https://azvdl.arizona.edu/ Location To Be Determined Address 2831 N. Freeway Drive, Tucson, AZ 85705 USA Position Highlights
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Aleks Tata lab in the Department of Surgery, Duke University School of Medicine has an opening for postdoctoral researchers to study mechanisms in lung injury-repair. We seek to understand the cellular
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-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 3 months ago
-9789, https://doi.org/10.1016/j.promfg.2020.05.100 . Waad Q. Shiaa, Amjad B. Abdulghafour; Omar H. Hassoon. 3D reconstruction from CT images utilizing the open-source tool, AIP Conf. Proc. 2024, 3079
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, based in Angers and Rennes (University of Angers, University of Rennes, INRAe, Biogenouest, France Life Imaging), offers cutting-edge biomedical imaging solutions. With four preclinical MRI systems (1.5T
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. Assist the Head Coach in coordinating fundraising, camps, and public relations to create a positive image for the University and to enhance revenues. Coordinate a staff of student employees to effectively
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project. The project will also employ a PhD student at Lund University, focusing on developing hybrid architectures for deep learning-based image processing and methods for multimodal medical data. We will