139 associate-professor-computer-"https:"-"https:"-"https:"-"https:" positions at Yeshiva University
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the cash register and/or calculator Issue receipts and/or change to customers Set up and break down counter area Maintains coffee and display of baked goods Keep refrigerators and shelves stocked Refill and
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& Competencies: Experience teaching undergraduate students in the following fields: Art History and Studio Arts Biology Chemistry Computer Science Economics English History Jewish Studies Mathematics Philosophy
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School of Law is a leader in legal education, located in Manhattan’s Greenwich Village. The law school is renowned for its program in intellectual property, which includes the FAME Center for Fashion, Arts
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Position Summary: Assist in all areas of food service. Position Responsibilities: Identify prices of goods and tabulate prices using the cash register and/or calculator Issue receipts and/or change
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classes Plan and implement a Self-Care Week program, including workshops and activities that promote physical, emotional, and spiritual well-being Design and deliver study skills sessions to help students
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work is accomplished in a professional manner and conforms with work order requirements, specifications, and building codes Compute material requirements for specific jobs Maintain adequate shop stock
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computer skills: must be proficient in Microsoft Word, PowerPoint, and Excel Redcap, and SPSS or other statistical software are a plus Exceptional attention to detail and accuracy. Excellent interpersonal
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, recruiting, and admitting students to our graduate programs. This position will involve working closely with Ferkauf program directors and coordinators, the University’s office of admissions and marketing
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Health Training Program in Diagnostic Ultrasound resulting in an Associate’s degree, completion of a correlative Allied Health Program with successful completion of a postgraduate course in Cardiac
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. · Familiarity with digital technology for assessment, aging, neurodegenerative disease, and/or neuropsychiatric populations. · Experience with computational and statistical approaches for time series