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programming; experience in Python for machine learning and/or digital image processing is preferred. Strong communication skills, both in formal written reports/manuscripts and oral presentations. Language
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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with integrated circuit design processes, flows, CAD, and EDA tools. Experience with x-ray scattering or imaging. Synchrotron experience is preferred. OTHER INFORMATION: Initial 2-year term appointment
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phase-change heat transfer, micro/nano fabrication (photo or e-beam lithography), and optical imaging. The primary responsibility is to study liquid film dynamics during phase-change processes such as
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
. * Genomics and bioinformatics analysis. * Live imaging. * Advanced molecular biology methods. Special Physical/Mental Requirements Special Instructions For information on UNC Postdoctoral Benefits and Services
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give rise to brain functions and behavior. The Laboratory of Neurotechnology and Biophysics (LNB) has a significant focus on developing and applying advanced optical imaging technologies with
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such as PyTorch and TensorFlow. Experience with high-performance computing and/or scientific workflow. Strong background in inverse problems, numerical optimization and image processing. Job Family
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normal and pathological feeding and reward processes. Applicant must hold a PhD or equivalent degree in neuroscience, biochemistry, molecular biology, psychology, computer science, biomedical engineering
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the pre- and post-processing of Magnetic Resonance (MR) images (or utilization of existing brain imaging markers), taking peripheral or central biomarkers, and regressing them against those images using
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the development of novel therapies for coronary microvascular disease. The research program focuses on clinical translation and the development and validation of existing and novel cardiac imaging-based