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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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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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or MD/PhD degree 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
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processing, machine learning, computational imaging, and clinical translation. Beyond your individual research contributions, you will serve as a technical coach for the PhD researchers, helping to align
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technologies for imaging the living human inner ear. This project combines biomedical optics, optical coherence tomography (OCT), ultrafast lasers, image-guided surgery, and otology to address one of the most
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mentoring activities Write scientific papers Who we are looking for Essential experience and skills: You have (or are about to get) a PhD in life science or medical science, preferably in the field of cardiac
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intelligence, data science, medical physics, neuroimaging, bioengineering, or related disciplines, accompanied by accredited training in machine learning, deep learning, or medical image analysis. Experience: A
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nanoparticles or mRNA for in vivo imaging and to deliver RNA in vivo for disease treatment and cancer prevention. Additional Information: Required Education and Experience: PhD in Biophysics, chemistry
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opportunities across UNMC. Required Qualifications • PhD in Neuroscience, Biology, Physiology, Pharmacology, or related discipline • Demonstrated experience with rodent stereotaxic surgery (must) • Strong
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. Education and scholarly development The postdoctoral associate will receive structured education in computer vision applications in medical imaging, machine learning, research methodology, responsible conduct