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Leadership In Radiology and Public Health: The Yale Informatics Fellowship Yale University: School of Medicine: Radiology and Biomedical Imaging Location New Haven, CT Open Date Oct 01, 2026
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Medical Computer Vision Experience with Large Language Models and Generative AI Experience working with real-world EHR and imaging data Experience working with PACS and the DICOM standard Preferred
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through cutting-edge research. The Nath Lab is seeking highly motivated applicants for a postdoctoral position in computational oncology, artificial intelligence, and data science. Our research program
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Center for Drug Evaluation and Research (CDER) | Saint Louis, Missouri | United States | about 18 hours ago
. Advance skills in chemometrics and quantitative data analysis by applying multivariate and post-acquisition processing approaches to complex spectroscopic and imaging datasets and developing reproducible
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receive training in computational medical imaging, patient-specific multiphysics modeling, thermal therapy, translational research, scientific communication, and manuscript and grant preparation. The fellow
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molecular cloning, CRISPR, or genetic circuit design Experience with flow cytometry, confocal microscopy, or in vivo imaging (bioluminescence, fluorescence) Computational skills for data analysis, signal
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development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care, education and
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physicians. Career opportunities upon completion of the postdoctoral training include: Clinical medical physics Medical imaging computer programming Radiation therapy computer programming As a successful
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across several domains of physics and astronomy. The successful candidates will develop an integrated image-processing pipeline and apply it to three distinct problems: rare-event searches in particle
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 8 hours ago
doctorate (e.g., Sc.D., M.D.) Departmental Preferred Experience, Skills, Training/Education: Ph.D. in Architectural Technology, Biology/Biotechnology, Mechanical or Electrical Engineering, Chemical