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: signal processing, advanced data analysis, statistics, and machine learning – Experience in safe laboratory procedures. Effective verbal and written communication skills. Laboratory experience
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microbes chemically/physiologically. Computational work could include genomic analyses, machine learning, and simple mathematical modeling approaches. Responsibilities Responsibilities include the following
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learn to develop skills as a field scouter, identifying and recording pest and beneficial insect densities in crops of interest. 2) Counting insect densities. Be able to identify insect pests and
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 3 months ago
USNH Employees should apply within Workday through the Jobs Hub app Position for a graduate student or adjunct to analyze ground magnetic field perturbations using machine learning techniques
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Position Announcement UVU’s Center for Constitutional Studies (CCS) is seeking exceptional students for an extraordinary, engaged learning experience in the Eric Zachary Wood Teaching & Research
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outside Ability to learn to identify plants Valid driver’s license Ability to travel, including occasional overnight camping Preferred Qualifications: Computer literacy including MS Excel or other
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Banner. Knowledge of computer applications such as word processing, spreadsheets, database, power point, internet tools, email systems, and other general computer skills. Skills High technical aptitude and
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, statistics, and machine learning – Experience in safe laboratory procedures. Effective verbal and written communication skills. Laboratory experience demonstrating attention to detail and commitment to safe
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: A collaborative, supportive, and fun work environment Training to build upon or learn new technical skills Interesting work where you don’t do the same thing every day Projects, professional
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committed to offering a dynamic learning environment and growing opportunities to its talented and dedicated employees. Under supervision, the incumbent implements visit scheduling and subject retention