516 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" positions at University of Texas Rio Grande Valley
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. Preferred Experience Experience obtained in a clinical setting. Equipment Use of standard office equipment. Personal computer-based productivity tools. Working Conditions Needs to be able to successfully
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to discontinue accepting applications prior to the stated close date of this position, after meeting the posting requirement of three (3) calendar days. Quick Link https://careers.utrgv.edu/postings/50652
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to the stated close date of this position, after meeting the posting requirement of three (3) calendar days. Quick Link https://careers.utrgv.edu/postings/49696
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. Provides operational and documentation support for assurance-of-learning and accreditation activities, including AACSB reporting and maintenance of required records. Maintains frequent interaction with
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Non Tenure Track FTE 1 Scope of Job The School of Earth, Environmental, and Marine Sciences (SEEMS) welcomes applications for a Lecturer in Geology to instruct in the Environmental Sciences Program
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alloys for energy applications in harsh environments using additive manufacturing. This research involves integrating computational modeling, machine learning, and experimental investigations to design and
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. Experience working in a fast-paced environment requiring ability to manage competing priorities including referrals, crisis response and client treatment. Job will require ability to drive a car for travel
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plan, vision, mission, values and core priorities (https://www.utrgv.edu/strategic-plan/ ). About UTRGV: UTRGV serves the Rio Grande Valley and beyond via an innovative and unique multicultural education
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requires faculty members whose primary language is not English to demonstrate proficiency in English as determined by a satisfactory paper-based test score of 500 (computer-based of 173 or internet-based
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requires faculty members whose primary language is not English to demonstrate proficiency in English as determined by a satisfactory paper-based test score of 500 (computer-based of 173 or internet-based