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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 3 hours ago
to these specialized imaging tasks. Designing of advanced compression algorithms tailored specifically for medical imaging modalities. Minimum Requirements: Doctorate degree in Electrical and Computer Engineering An
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pathophysiology. Significant expertise in these areas is essential, and experience in artificial intelligence, machine learning, or simulation as applied to medical imaging will be highly regarded. As a key member
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years cross sectional imaging and/or computer assisted imaging preferred with one year full time experience in MR preferred. Demonstrated superior technical knowledge and expertise in cross sectional
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instruments and high throughput genomics that informs advanced numerical analysis methods (modeling, statistics, machine learning). Plankton encompasses all organisms roaming with marine currents. Those
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA
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learning (/ machine learning / artificial intelligence) methods for image processing. Proficiency in scientific programming (e.g., Python, MATLAB, C++) and debugging. Knowledge of current status of research
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 19 hours ago
animals A new Asto standing CT scanner for use in Equine diagnostic imaging. A Canon Celesteion PET/CT scanner with a wide bore gantry 2 state-of-the-art Canon Aplio-800 Ultrasound machines Two fixed small
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health monitoring, preferably with a publication record in top-tier journals; and (c) be proficient in mainstream research frameworks for deep learning and computer vision. Applicants are invited
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typical day might include the following: Develop new statistical and machine learning approaches, data processing pipelines and establish internal data practices that can be applied to datasets with
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on knowledge retrieval and interactive, interpretable machine learning to increase the efficiency of the drug discovery process. The developed tool will be able to analyze images of cellular events, such as