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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
Range Dependent on qualifications in line with NIH scale. Proposed Start Date Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! The UNC Nutrition Research Institute (NRI) is
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lead research projects to investigate how bioactive lipids and other related bioactive compounds influence chronic diseases using advanced analytical techniques and statistical methods under Dr. Liang’s
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activities may change at any time with or without notice. Required Qualifications Education: MD or equivalent doctoral degree. Work Experience: Experience in principal and advanced statistical methods
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, antibodies, and their complexes using techniques such as cryo-electron microscopy (cryo-EM), X-ray crystallography, and supporting biophysical methods. Responsibilities will include protein expression and
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biologist to join our interdisciplinary team of research biologists, medical doctors, engineers, mathematicians, and computer scientists studying cancer and other human diseases. We are at the forefront
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Researcher in the Department of Chemistry and Biochemistry at Loyola University Chicago, specializing in Surface Science and Catalyst Characterization methods. Our Research focuses on studying chemical
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integration methods across disparate data streams. Essential Duties and Responsibilities Position will collaborate with scientists on developing independent research studies in brain health by: Analyzing large
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 8 hours ago
of executive control, and contextual modulators of executive control like emotion and motivation. We use and develop advanced computational methods, including “big data” statistical methods, machine learning
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methods like umbrella sampling, force integration, free energy perturbation, or lambda integration to compute the conformational behavior of individual structures and the thermodynamic stability of assembly
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experience working with large complex longitudinal datasets is required. (Experience conducting statistical analyses such as robust variance, binomial regression, generalized estimating equations, Cox