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of Radiology, within WashU Medicine in St. Louis, a top-ranked medical school in research. The candidate will work on identifying multimodal biomarkers, specifically leveraging magnetic resonance imaging (MRI
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tissue transcriptomic profile, as well as the inflammatory and metabolic profiles associated with radiopharmaceutical uptake assessed by imaging exams. CancerThera, the Cancer Theranostics Innovation
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, perform data analysis utilizing medical imaging data, computer models, and statistical tools. The individual will prepare manuscripts and contribute to the development of grant proposals. The McIntyreLab
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neuropsychological assessment with brain imaging data (e.g., functional MRI, structural MRI, EEG) Proficiency with neuroimaging analysis software or electrophysiological data processing Experience conducting clinical
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related disciplines with experience in optics, computation and electronics. Responsibilities will include designing and implementing optical systems based on quantitative phase imaging with digital
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collection and analysis of the GreenFamily randomized crossover trial. The research will combine quantitative and qualitative approaches to generate insights that are both scientifically rigorous and
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faculty are teachers, clinicians, and scientists with unparalleled experience who advance medical innovation and provide patient care informed by the latest research findings. We offer an outstanding
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
important reason why Carolina is one of the leading public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and
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femtosecond pump–probe methods, wide-field imaging, and advanced statistical and computational analysis to elucidate structure–function relationships in biological systems. Candidates are expected to have
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the digital models into different simulation environments and to support the testing and training of medical robotic systems. The successful candidate should have a strong background in medical image analysis