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Field
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The successful applicant will hold a Ph.D. in agricultural economics or related fields. The successful applicant should have experience using statistical programming languages, such as R, Python, SAS, etc
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discrimination and harassment in its admissions processes, and educational programs and activities, facilities and employment practices. The University of North Texas System promptly investigates complaints
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of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits
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will also use these results to aid in the testing, evaluation and transition of technologies developed by government-funded research programs. Identify opportunities to apply AI to improve existing
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, including health insurance plans, generous paid time off, retirement programs with employer contributions, tuition assistance for employees and their children, and more. Anticipated Pay Range: Duke University
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experience in pharmacy practice. Hands-on experience with some combination of the following: Programming and conducting computational and statistical analyses on large administrative claims data, electronic
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Qualifications Experience with scientific principles, laboratory equipment, and software programs. Experience with specialized tasks and laboratory/field techniques for the position: operate, maintain, calibrate
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candidate will be expected to develop a high-impact, nationally recognized research program in a self-identified area of applied robotics research or another closely related area. They will be expected
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research-focused tenure-track faculty position to lead an independent research program focused on spatial immuno-oncology, utilizing cutting-edge technologies (e.g., spatial transcriptomics, spatial
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of Electrical and Computer Engineering and Center for Electro-optics and Functionalized Surfaces (CEFS) are seeking a research assistant professor. The CEFS has a multidisciplinary research program focused