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Field
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cutting-edge research project within a highly interdisciplinary and international team and a supportive research environment Access to state-of-the-art imaging and analytical facilities Opportunities
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validating deep learning models for the prediction of disease progression from ophthalmic data. Skills include working with image or computer vision-based toolkits, development of multimodal, multidata type
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disease states. The candidate will also have the opportunity to work with state-of-the-art equipment such as a small animal radiation research platform (SARRP),cabinet irradiators, and in vivo imagers
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, social sciences, and physical sciences to address real-world challenges. Faculty and students conceptualize, prototype and evaluate products and processes that enhance human potential, well-being and
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, 2025 to July 31, 2026. There is some flexibility with the timing. Subsidized housing may be available https://my.cgu.edu/housing/ . The project consists of developing a new paradigm for machine learning
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
, an active doctoral studies program, and state-of-the-art instrumentation. Onsite facilities include those for flow cytometry, confocal microscopy, live animal imaging, laser capture microdissection, phosphor
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team that investigates the the genetic and molecular mechanisms of addiction in a multi-disciplinary approach including genetics, behavior, circuit analysis, imaging, hi-throughput genomics, and
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-Voltage (IV) curve, Dark IV, Electroluminescence (EL), UV-Fluorescence imaging (UVF), Infrared (IR) imaging). Material characteristics (X-ray Photoelectron Spectroscopy (XPS), Fourier Transform Infrared
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perfusion as people age with various comorbidities (hypertension, hypotension, obesity) will preserve oxygen supply to the brain. MRI and two photon imaging are used in animal models to understand