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privacy constraints, robust solutions are essential. This PhD project will develop methods for building reliable medical imaging models that generalize across distribution shifts without retraining
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Reconstruction of atomic resolution images from sparse datasets of radiation sensitive materials in scanning transmission electron microscopy School of Electrical and Electronic Engineering PhD
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or laboratory purchases) to launch their research lab. These resources are complemented by robust institutional support, including access to biostatistics, image processing, data science, software engineering
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of new physicians. Assists radiologists and PhD's in developing new protocols and imaging techniques that are unique to facility. Participates in research initiatives and development of research protocols
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | 2 days ago
programs in Occupational Therapy (OTD), Physical Therapy, (DPT) and Health Sciences (PhD in Health Sciences to prepare future faculty and researchers). To begin the application process, submit a cover letter
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grant proposals/studies as needed. Qualifications Education Requirements: PhD degree in Computer Science, MD degree, or related field. Experience and Skills: Experience in image or signal processing
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of Biomedical Engineering, and will collaborate with John P. Mugler III, PhD, Professor of Radiology and Medical Imaging, and with Adrienne Campbell-Washburn, PhD, Senior Investigator in the Laboratory of Imaging
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collaboration, we are building a high-throughput single-cell analysis platform that combines microfluidics, advanced imaging and AI-based analysis to study gut microbial consortia. You will drive the development
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. Certifications: --- Preferred Qualifications Education: PhD or doctoral degree in a related field. Specialized training or certifications in gynecological and obstetric imaging modalities (e.g., advanced
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(e.g., tensor or multi-modality data). Work with other researchers and PhDs to develop AI applications related to image processing, computational imaging as well as computer vision. Lead a team of junior