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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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detection, statistical detection models and mathematical models of image processing; (iii) demonstrate experience in academy-industry projects; (iv) interest in publishing high-quality journal papers in
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conditions for a rewarding career. The Eddy Lab, Department of Radiology, Faculty of Medicine is seeking a full-time Postdoctoral Fellow to develop novel 129Xe magnetic resonance imaging (MRI) acquisition
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outcomes. Research Data Management and Analysis: Lead the processing, cleaning, integration, validation and analysis of complex clinical and skin imaging datasets, including 2D and 3D medical imaging data
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research experience in medical-image segmentation and three-dimensional anatomical-model development. Experience processing CT, MRI, or comparable volumetric medical-imaging datasets. Demonstrated ability
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of Ophthalmology. Our research focus is retinal cell biology with the goal of understanding the fundamental processes of vision and discovering small molecule therapy for photoreceptor degenerative disorders
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This full-time post is available immediately. This post is offered as a fixed term contract and is funded by the Medical Research Council until 28 February 2029. In line with the University’s fair
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access to unique multimodal datasets derived from prospective clinical trials, large-scale electronic health record (EHR) resources, medical imaging, and multi-omic profiling platforms, including genomic
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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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www.daslabpombe.com. For this research, we will use yeast genetics, live-cell imaging, protein dynamics, in vitro reconstitution, quantitative microscopy, and mathematical modeling approaches. Our lab is well equipped