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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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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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. 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
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), digital image/volume correlation and targeted manipulation of polymeric chains (i.e., mechanophore additions) to gain a deeper insight into the failure process of polymeric rubbers. The PhD student will
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diagnostic imaging studies under the direction/supervision of a radiologist. Assist with the education and training of new physicians. Assist radiologists and PhD's in developing new protocols and Ultrasound
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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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of 3 years post-PhD experience (academic, core facility, or industry). Minimum of 3 years of experience working in the areas of image acquisition, image processing, and computer-assisted image analysis
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Molecular mechanism of plant organellar replication School of Biosciences PhD Research Project Self Funded Dr Indrajit Lahiri, Dr S Casson Application Deadline: Applications accepted all year round