225 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Bowling Green State University in United States
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to operate heavy equipment Knowledge of basic computer skills Ability to operate computers and peripheral equipment such as printers and/or tape and disk drives Other: Ability to assemble and disassemble
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training. Possess ability to work with office/computer equipment. Possess and display professional mannerisms, alertness, and a friendly demeanor. No previous experience necessary. Familiarity with track
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status, military status, national origin, political affiliation, pregnancy, race, religion, sex, sexual orientation, protected veteran status, or any other legally protected characteristic. EEOC Know Your
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equipment used in meeting rooms at the team facility and home/away hotels. Assist in preparation of video edits for iPad/computer use by the coaching staff following games and practices. Assist with
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Essential Functions Calibrate lab equipment and learn to use basic lab equipment. Adhere to all OSHA and University Environmental Health and Safety (EHS) standards, including the proper use of Personal
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Summary The Department of Biological Sciences at Bowling Green State University seeks an instructor with the background and experience to teach lecture and laboratory sections of anatomy
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, BGSU fosters a collaborative and inclusive learning community where inspired ideas, knowledge and achievements support the region, state and nation. More than 760 talented and passionate faculty members
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monthly basis throughout the academic year. To be eligible, you must complete the following external application: https://forms.office.com/r/pnspgspPt5 Essential Functions Answers telephone, screens calls
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, gender identity and expression, genetic information, HIV/AIDS status, marital status, military status, national origin, political affiliation, pregnancy, race, religion, sex, sexual orientation, protected
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status, gender, gender identity and expression, genetic information, HIV/AIDS status, marital status, military status, national origin, political affiliation, pregnancy, race, religion, sex, sexual