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Medicine, Utah Data Coordinating Center, Scientific Computer and Imaging Institute, and Center for Health Ethics, Arts, and Humanities; and drives discovery with meaningful societal impact. College
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 6 hours ago
), Medical Sciences, Imaging Sciences and a PhD in Health Sciences. We provide students with intensive, hands-on clinical experience that prepares them to be outstanding practitioners and leaders in providing
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funding This opportunity is for self-funded PhD students. Applicants are encouraged to apply for external funding and we will support this process if and when required. Find out about fees and funding
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or explainable AI or safety). Experience in machine learning, causal inference, image processing, human-robot interaction, or large language models. Experience in analyzing multimodal data (e.g., text, sensor
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and supervising undergraduate and postgraduate trainees. QUALIFICATIONS Applicants must hold a PhD and have completed at least 3 years of postdoctoral training in developmental biology, hematology or a
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of atomically precise building blocks and advanced materials (3) Atomic scale electronic devices: prototype devices design and advanced processing technology. These areas aim to explore development from atomic
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Skip to Main Content Toggle navigation Home Search Jobs Job Alerts Log In /Create Account Help Assistant/Associate/Professor in AI for Image Analysis and Computer Vision Bookmark this Posting Print
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ESSENTIAL A PhD degree in science, engineering, or equivalent research experience in imaging. Demonstrated experience in imaging research, in MRI, PET and/or CT modalities. A record of high-quality research
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injections and ear tagging. The person would also assist with tissue collection, tissue processing, histology and subsequent molecular and biochemical studies. This position requires a high level of attention
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Analysis Population-level Cohort and EHR Analysis Epidemiology Pandemics Biomedical Imaging The Department of Computational Biology focuses on developing and applying cutting-edge analytical, mathematical