75 software-formal-method-phd positions at The University of Memphis in United States
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Posting Information Posting Number SAECC4162 Advertised Title Software Programmer Campus Location Main Campus (Memphis, TN) Position Number 023725 Category Staff (Hourly/Monthly) Department School
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intervention development, implementation, and evaluation. · Collaborate with other division members to enhance and complement our core strengths in community-engaged research, mixed-method studies, social
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minimum of 3 years of experience at the University level, and a strong commitment to lower division undergraduate instruction. Experience with MyMathLab or WebAssign software and NCAT redesign methods
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strong commitment to lower division undergraduate instruction. Experience with MyMathLab or WebAssign software and NCAT redesign methods is preferred. Candidates able to support the mathematics graduate
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with other division members to enhance and complement our core strengths in community-engaged research, mixed-method studies, social epidemiology, community and urban health, health equity, and social
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well as Microsoft Office applications (Word, Outlook, Excel, etc.) Must have previous experience with project management/scheduling/estimating software. Must be flexible to address customer service issues after
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. Applicants must have either a PhD in Mathematical Sciences or a minimum of a Master’s Degree in Mathematical Sciences or a related field with at least 18 graduate hours in Mathematics. Candidates should have a
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transcript. Minimum Position Qualifications Master’s degree in Women and Gender Studies or master’s degree in a related discipline with 18 hours of graduate work in Women and Gender Studies. PhD preferred
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University. Applicants must have earned a PhD or other research doctorate by the start date, and clinical certification and eligibility for state licensure in SLP are preferred. Candidates with a record of
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://workforum.memphis.edu for consideration. Initial screening will begin immediately. Minimum Position Qualifications The successful candidate must have a PhD in Engineering or Digital Learning Technologies for STEM Special