950 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" positions at University of Texas at Austin
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skills and excellent judgment. Ability to work independently with sensitive and confidential information, maintain a professional demeanor, work as a team member without daily supervision and effectively
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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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engineering and testing, pavement management, and data integration. Perform experimental testing in a laboratory as needed. Actively search for new research opportunities and leads the development of proposals
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the fields of pavement and materials engineering and testing, pavement management, and data integration. Perform experimental testing in a laboratory as needed. Actively search for new research opportunities
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sites in Hutto. Communicate with tutors and school-based personnel via email and text to support scheduling, coordination, and implementation needs Support data-related tasks, including data entry
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manipulation, and metabolic engineering for natural products discovery as potential PMP therapeutics Manuscript preparation for scientific publication Generate data and participate in scientific writing
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Use of manual dexterity (ex: using a mouse) Work Shift Monday - Friday (flexible between 7am and 5pm) Required Materials Resume/CV 3 work references with their contact information; at least one
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interdisciplinary programs in computational sciences and engineering, computational medicine, computational geosciences, mathematical modeling, applied mathematics, data science, software engineering, and
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that include sample processing and inventory, data management, and instrument maintenance. Position located in Port Aransas, Texas. Only applicants authorized to work in the United States will be considered
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interdisciplinary programs in computational sciences and engineering, computational medicine, computational geosciences, mathematical modeling, applied mathematics, data science, software engineering, and