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studies, imaging techniques, biochemistry, gene expression analysis, experimental data analysis including multi-omics analyses, and the interpretation of statistical results. They will prepare integrated
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digital intra-oral and extra oral radiographic imaging (e.g. cone beam computed tomography, and bitewing, periapical, occlusal and panoramic views in analog/film and digital/plate/sensor formats). Review
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 1 hour ago
activities as well as low-cost-of-living. Further information on the University and local area can be found at http://www.uthscsa.edu and http://www.visitsanantonio.com . Application Process: Interested
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academic training in Computer Science, Artificial Intelligence, Data Science, or equivalent. Knowledge of LLMs/NLP and multimodal models. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection
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biology, engineering, biophysics, computer science) and experience in 3D imaging of brain tissue, image segmentation, and handling large datasets. You are comfortable with machine learning and image
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discipline. City: New Brunswick State: NJ Equipment Utilized: Computer, telephone, fax machine, and Xerox machine. Physical Demands and Work Environment: Physical Demands: Ability to speak clearly and write
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. * Knowledge of applicable codes and regulatory requirements such as NEC, ASHRAE, OSHA, OBC, NFPA, TJC, FGI, ADA, HIPAA. * Experience with CADD, Revit, BIM, or other computer drafting programs. * Experience
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facilitates effective working conditions and presents a favorable image Keeps informed on Extension policy, research reports, and publications which are applicable to program responsibilities and position
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Assistant, Associate or Full Professor without tenure, UW Pediatric Cardiology, non invasive imaging
invasive imaging Position Details Position Description The Department of Pediatrics at the University of Washington is seeking a non tenured faculty position as full time Assistant, Associate, or full
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/ET, MRI imaging, Computational biology, AI/ML Faculty recruitment is focused on scientific leaders interested in working together towards this very ambitious scientific goal while also promoting