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Field
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computer vision and machine learning approaches to integrate ground-based imagery, remote sensing data, and lidar data for high-resolution flood detection and mapping. Develop and calibrate hydraulic flood
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candidate(s) must hold a PhD or MD degree in Neuroscience or relevant biological sciences. Prior experience with cell culture, biochemistry, and cell imaging techniques are required. Certifications/Licenses
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a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in condensed matter physics, material science, chemistry, or nuclear engineer and
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of precision imaging datasets using supercomputing cluster resources. Support students and trainees involved in infant data processing and analysis. Present novel discoveries at international conferences
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have experience in routine molecular biology techniques like Western blotting, PCR, immunohistochemistry and/or microscopy. Experience with electrophysiology or live-cell imaging techniques like calcium
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be in possession of a Ph.D. degree in Astrophysics or Physics by the application deadline. Applications from candidates not in possession of a PhD will be rejected without further consideration
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. Applications from candidates not in possession of a PhD will be rejected without further consideration. Candidates who prepared their thesis at the IAC have to present accreditations of complementary training
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on advanced modeling of coupled fracture/damage of geomechanical materials when subjected a range of multiphysical loading regimes including hydraulic, thermal, and chemical processes. The direct applications
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disease which combines behavioral and genetic models, metabolic, neuroendocrine and imaging techniques in living animals as well as sophisticated molecular and structural biology analyses of neuropeptides
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of the OSUCCC – James 51 neonatal intensive care unit bassinets State-of-the-art diagnostic, treatment and inpatient service areas; imaging; operating rooms; and critical care and medical/surgical beds Department