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related fields. Additional qualifications Experience with both numerical modeling and laboratory approaches related to soil biogeochemistry is desirable but not required. Application Requirements Document
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to numerous preclinical research projects focused on the development of novel molecular magnetic resonance imaging (MRI)-based techniques for early detection, disease phenotyping and monitoring treatment
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academic and non-academic settings, involving design, building, and validation/testing of tissue optical spectroscopy and/or imaging equipment, as well as computational modeling of the interaction of light
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reinforced concrete structures, using mechanical, acoustic, electromagnetic, electrical, and electrochemical methods and devices, such as ultrasonic methods or GPR, 2) application of numerical simulation and
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access to state-of-the-art numerical models and high-performance computing systems at Princeton and in NOAA, working alongside GFDL model developers and software engineers to advance quality assurance and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
. We consist of 54 tenure-track faculty, 16 teaching faculty, 10 research faculty, and numerous active adjunct and emeritus faculty who are engaged in basic and interdisciplinary research and teaching
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continuing dental education. As one of the fastest-growing academic health centers in the nation, the Texas A&M University Health Science Center encompasses five colleges and numerous centers and institutes
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, including hybrid simulations coupling machine learning with numerical methods, multiscale discretization, nonlocal closure modeling, structure preservation, multilevel and multifidelity machine learning
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About the Opportunity Job Summary The Copos Group works on computational and mathematical theoretical models with direct applications to several open problems in cell biology. We are specifically
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of statistical concepts and methods. Proficiency in at least one programing language (e.g., R, SAS, STATA). Excellent quantitative analytical skills, particularly in longitudinal modeling, administrative data