14 machine-learning "https:" "https:" "https:" positions at Bowling Green State University
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Summary We are seeking an undergraduate student to assist with data preprocessing and machine learning tasks. Career Readiness Competencies: Communication Professionalism Teamwork Essential
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. Performs other duties as assigned. Minimum Qualifications Requires concentration and strong attention to detail. Basic computer skills required and desire to learn new skills on the job. Must be able to lift
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-professional tracks to develop competitive applications for professional schools by providing advising, resources, and support that strengthen academic readiness, expand experiential learning, and build
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layouts, determine amount of material and time involved; make cost estimates, work orders, inventory lists and project reports/records. May be required to serve as a lead worker and/or supervise, instruct
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periodic route-setting sessions with other Climbing Wall staff members. Operate various computer applications. Enforce rules and regulations of the Climbing Wall. Adhere to all policies and procedures as
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, determine amount of material and time involved; make cost estimates, work orders, inventory lists and project reports/records. May be required to serve as a lead worker and/or supervise, instruct and train
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vitality in the region and beyond. Through innovative teaching, research and creative activities, BGSU fosters a collaborative and inclusive learning community where inspired ideas, knowledge and
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Knowledge of or ability to learn University academic policies and procedures, as well as available degree programs and support services Knowledge of computer applications including but not limited
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to the public good. We achieve this through robust collaboration across departmental boundaries, with particular attention given to increasing experiential learning for our undergraduate and graduate students and
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. Create, manage, document, and enforce policies and procedures for Project Management methodology. Recommend, create and teach appropriate training for both technical and end-user staff at the University