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Field
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A Postdoctoral Research Associate position is available in the laboratory of Basavaraju G. Sanganahalli, PhD, Assistant Professor of Radiology and Biomedical Imaging to work on a newly funded NIH
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imaging science or related field or an equivalent qualification; (ii) demonstrate research skills in imaging science and machine learning, particularly on image reverse engineering, fake image and video
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and apply AI and machine learning methods for signal processing, image analysis, data fusion, and prediction; · build physics-informed and hybrid AI models that combine geophysical knowledge with data
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liaise with Siemens Healthcare Limited partner personnel, as well as a multidisciplinary team of imaging scientists, engineers, MRI technologists, physicians, undergraduate and graduate trainees, and
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– in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in physics, optics, photonics, applied physics, electrical engineering, or a related discipline, earned no
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of advanced engineering alloys investigate processing-microstructure-property relationships using advanced materials characterisation techniques conduct microstructural, crystallographic and chemical analysis
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with clinical research experience, or a PhD degree in biomedical engineering, medical physics, computational science, or a related field with experience in vascular imaging research. Experience in
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engineering, or a closely related field. Experience in one or more of the following areas is desirable: optical system design, OCT, microscopy, laser-tissue interactions, ultrafast lasers, image processing
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analysis, kinetic modeling, data analysis, and results dissemination. Qualifications: The ideal candidate will have some prior hands-on experience in preclinical PET/CT or PET/MR imaging, image processing
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Full time, fixed term for 2 years with the possibility of extension Join the School of Electrical and Computer Engineering and contribute to pioneering research redefining CubeSat technology Base