192 web-programmer-developer-"https:"-"UCL"-"University-of-St"-"https:" positions at Michigan State University in United States
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required. Responsibilities will vary; however duties may include but will not be limited to: Maintain schedule in Outlook Schedule meetings Data collection Data analysis Development of procedures Data entry
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supervision, professional development opportunities, and other duties as assigned in supporting MSUCOMs Wellness & Counseling Office goals, initiatives, and student support. Desired Qualifications Knowledge
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, and graduation. This position will engage in clinical supervision, professional development opportunities, and other duties as assigned in supporting MSUCOMs Wellness & Counseling Office goals
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Knowledge and skills to develop and teach resources in Entomology Excellent oral and written communication skills Desired Qualifications Ph.D. in Entomology preferred Experience in development and assessment
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. Characteristic Duties and Responsibilities Completes proctor training annually and as required by MSU colleges/program. Ensures academic integrity through the following: Accomplishes test candidate check-in and
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), performing all duties expected of Veterinary Nurse I and II roles. Coordinate the day-to-day operations of the Emergency and ICU departments. Supervise, hire, and train assigned nursing staff. Create and
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troubleshoot technical issues, d) working constructively with diverse student populations, e) assisting physical geography faculty in their courses, including grading, content proofing and development
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to practicing often; knowledge and skill equivalent to a undergraduate music degree program. Equal Employment Opportunity Statement All qualified applicants will receive consideration for employment without
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). This position is for applicants interested in going to the Police Academy to become sworn law enforcement officer. Under direct supervision, Police Recruits participate in an academy program that
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, computational imaging, and theory. The position will work on multiple problems in these domains, to develop mathematical and algorithmic foundations for deep unsupervised learning for imaging with improved