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the Department of Radiology and Imaging Sciences at the University of Utah invents, develops and validates exciting image guided technologies to treat a myriad of conditions with therapeutic ultrasound. Our
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models for neurological diseases (e.g., Multiple Sclerosis) and cancers, applying these modeling advances to patient-level outcome prediction, treatment-response modelling, and the discovery of image-based
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surgeons to achieve more precise cancer removal. Utilizing Artificial Intelligence to Segment Echo Images of Tongue Cancer Intraoperatively to Facilitate Radical Resection Squamous cell carcinoma (SCC
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, in vivo calcium imaging, viral gene delivery, opto- and chemical genetic and pharmacological methods, transgenic rodents, molecular/cellular neurobiology, omics (transcriptomics, proteomics and
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Microscopy (LTEM) studies of magnetic heterostructures. We are interested in using real space imaging techniques to understand the evolution of energy landscapes that lead to emergent domain behavior in
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD, MD, or MD/PhD. Doctorate-level degree (or foreign equivalent) in a field relevant to human brain imaging
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protocols. In particular technologies which can eventually be deployed either in fiber or space. Such technologies will also be evaluated for transport of quantum images. Share this opening! Use the following
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. Non-destructive characterization using 3D imaging and diffraction techniques is one of MATEIS's key activities, carried out in close collaboration with the ID11 beamline (materials science) at
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Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to
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electrophysiology. The lab is equipped with two cutting-edge patch-clamp electrophysiology/fluorescence imaging systems, including a frequency-domain fluorescence lifetime imaging microscopy system. Research Focus