598 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"P" positions at University of Texas at Austin
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experience in large meteorological and hydrological data analysis, including extreme event assessments as evidenced by contributions to data repositories. Strong programming skills (Python, Bash) and
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results at internal and external working group meetings. Process and/or analyze acoustic data for use in SONAR system development. Includes the development of novel signal processing and automation
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for the design, implementation, optimization, and maintenance of SQL database environments supporting Epic’s reporting and data warehouse systems, such as Clarity and Caboodle, which are integral components
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collaboration with the external evaluator and IPSI data & research team, oversee all data collection and reporting on the grant, including Final Performance Report (FPR). Function 6: Represent IPSI/UT GEAR UP
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backgrounds and experiences. For more information about the College of Liberal Arts, visit our website . Our college seeks to build a supportive, growth-minded community and cultivate outstanding and courageous
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requests, management of donor data, and facilitating small to large events. This role partners closely with diverse stakeholders including Offices of the VP for Development, the Transformational Gifts (TG
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work references with their contact information; at least one reference should be from a supervisor Letter of interest Important for applicants who are NOT current university employees or contingent
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coordinating events or handling complex logistics for an organization High degree of proficiency in computer applications, including Microsoft Office, Adobe, Zoom, Teams, DocuSign Excellent verbal, written, and
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independently with sensitive and confidential information, maintain a professional demeanor, work as a team member without daily supervision and effectively communicate with all groups of clients. Able to work
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scholar with expertise in the application of computational, data-science, and/or AI methods as applied to human data from one of many domains (e.g. memory, attention, emotion, language, social behavior