602 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UNIV" positions at University of Texas at Austin
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and Compliance (ORSC) and its oversight committees and with Environmental Health and Safety (EHS) to ensure safe and compliant research environments. Develop data management strategies for research core
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Associate to work with the Business Manager to track information and manage data. Purpose To support business operations related to Finance, Human Resources, Development, and Constituent Relations to data
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modeling. This is a temporary 40 hour per week research position that will end on August 15, 2026. Responsibilities Preforming experiments, analyzing data, optomechanical design, and/or computational
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logistics for meetings, trainings, and events. Acts as a liaison between departments and external stakeholders. Responds to routine inquiries and information requests. Maintains confidentiality of sensitive
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of complex decisions. Responsibilities Communicate information/data to students, parents, staff, faculty, and reporting entities, including consulting with campus and external stakeholders. Research and
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Job Posting Title: MRC- Research Associate ---- Hiring Department: Chandra Department of Electrical and Computer Engineering ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40
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, including evenings and weekends, may be required. Required Materials Resume/CV Letter of interest 3 work references with their contact information; at least one reference should be from a supervisor Important
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, retention, and scheduling, including community outreach efforts. Trained to do data collection in emergency situations, though that will not be their primary responsibility. Willing to be trained in MRI
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. Routinely monitor internal disclosure systems for financial interests, outside activities, foreign travel, foreign gifts, and any other relevant information to assess international activity. Conduct risk
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the Environmental Sciences Laboratory (ESL). Responsibilities Conduct desktop studies by evaluating archival and academically available hydrographic and GIS data to characterize various ocean environments for bottom