303 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"https:" positions at Alamo Colleges in United States
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Algebra, higher level mathematics and computer science. EEO Statement
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at 6:00pm CST Hours per Week: 40 Hourly or Salaried: Salary Funding source: Grant Funded Number of opening: 3 Benefits Eligible: Yes Location: Bachelor of Science Nursing BSN 1819 N Main Ave. San
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description, click here . Qualifications Minimum Education and Experience: Associates degree in related field study or combination education, training and experience that equates to the required degree. Two
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complete job description, click here . Qualifications Minimum Education and Experience: Associate's degree or combination of training, education and experience that equates to the required degree. Five years
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technical support for higher education institutional research. Preferred Education and Experience: Master's degree. Degree in statistics, math, computer science, information systems, business administration
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are responsible to a department/program chairperson; The relationship of the faculty member to the student is one of leader, teacher, advisor, and facilitator of learning. Faculty members will uphold the mission
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are responsible to a department/program chairperson; The relationship of the faculty member to the student is one of leader, teacher, advisor, and facilitator of learning. Faculty members will uphold the mission
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Experience: Associate's degree in Child Development or Early Childhood Education OR a combination of relevant experience, education and training that equates to the required degree. Two years’ experience in a
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School Diploma or GED equivalent. Three (3) years work experience in welding. Preferred Education and Experience: Associate's degree in related training discipline. Three (3) years of directly related
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without benefits. Faculty members are responsible to a department/program chairperson; The relationship of the faculty member to the student is one of leader, teacher, advisor, and facilitator of learning