17 phd-urban-and-regional-planning positions at University of Texas Rio Grande Valley
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an MFA or PhD in area. Minimum Qualifications The qualifications to be considered for a part time lecturer are an MA in theatre or film or MA in related field with 18 graduate hours of theatre or film from
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& Behavioral Health ISU FTE 1.0 FLSA Exempt Scope of Job Work closely with primary care physicians, other providers and staff to develop and implement treatment plans with specific focus on behavioral
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& Behavioral Health ISU FTE 1.0 FLSA Exempt Scope of Job Work closely with primary care and OBGYN physicians, other providers and staff to develop and implement treatment plans with specific focus on behavioral
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communities. The BSW program is in-person, and alternative modalities are being explored. The MSSW program is offered in person and online. A PhD in Social Work is under development, as are a dual MSSW-MPH
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an enrollment of over 120 UG students and 50 master’s degree students. The College of Engineering & Computer Science has a new interdisciplinary PhD program in materials science and engineering and several
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expected to demonstrate a strong commitment to scholarly work, student success and to advancing the university, college, and school’s mission and are committed to UTRGV’s strategic plan and core About UTRGV
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undergraduate and graduate students. The undergraduate programs (BSEE & BSCE) have ABET accreditation. The department also has an MSE program in Electrical Engineering and is part of new PhD Programs in Material
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-Physical Infrastructure Systems (MECIS), and the University Transportation Center for Railway Safety (UTCRS). The college hosts an interdisciplinary Ph.D. program in materials science and engineering, and a
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, particularly as it relates to addressing the needs of at-risk populations with an emphasis on the Texas-Mexico border region. The BSW program is in-person, and alternative modalities are being explored. We offer
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PhD program in material science and engineering. Preferred Qualifications Priority will be accorded to applicants possessing expertise in Artificial Intelligence and/or Machine Learning as applied