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& Responsibilities: Develop advanced deep learning methods for radiology or pathology medical imaging Integrate imaging data with EHR, clinical notes, or genomic data Conduct research on segmentation, classification
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-learning–based segmentation, species classification and lineage tracking workflows for multi-species time-lapse data Optimise models and pipelines for real-time performance, enabling adaptive imaging and
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detailed tasks accurately and with quality. The position will contribute to developing and/or applying artificial intelligence, machine learning, and image segmentation and/or data science-based methods in
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variational autoencoders (VQ-VAE) or similar models Knowledge of MRI physics and Bloch equation simulations Experience with medical image segmentation or classification tasks Publications in machine learning
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Assistant, Associate or Full Professor without tenure, UW Pediatric Cardiology, non invasive imaging
Professor without tenure due to funding to join the Division of Cardiology as a member of the non-invasive imaging team General expectations: Perform clinical work, teaching and scholarly activity in non
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for the division, under the direction of the Imaging Manager. Minimum Qualifications 2-Year College Degree. A.R.R.T. Radiography registered with current ODH licensure. Previous interventional radiology experience is
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undergraduate program, a Bachelor of Science in AI, with two distinct streams: Business and Engineering, and are looking for passionate and highly motivated Teaching Faculty. The Undergraduate Division is seeking
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, this segmentation may rely on artificial intelligence (AI) tools trained to automatically identify and delineate the main organs from MR images. This step will make the generation of attenuation maps faster, more
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Posting Details Position Details Title Division Chief of Neuroradiology Specific Title Assistant, Associate, (Full) Professor of Clinical Radiology & Imaging Sciences Appointment Type Open
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 18 hours ago
Radiologist to join our expanding team in the Breast Imaging Division. This is an exciting opportunity for a dynamic physician to participate in a growing clinical program within an academic health system