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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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on the research plan at the time of arrival is available. Deadline for public applications Application documents and letters of recommendation must reach us no later than May 14, 2025 (JST). Employment Data
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with Informatics and Their Application to Materials R25-11 Self-driving laboratory for materials science Research Environment Support up to 10 million yen depending on the research plan at the time of
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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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programming skills (in Python, R or similar) and experience with large-scale data analysis using bioinformatic tools and pipelines to analyse and interpret biological data Attributes and Behaviour • Be
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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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, and transport sectors (RENEW) Strong skills in implementing convex, linear, and mixed-integer programming and modelling frameworks (JuMP, Pyomo, Yalmip, GAMS, etc) Experience of working with future
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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