961 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" "Univ" positions at University of Texas at Austin
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on qualifications Working Conditions Typical office environment. Required Materials Resume/CV 3 work references with their contact information; at least one reference should be from a supervisor Letter of interest
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databases and working with confidential information Extensive experience using Excel and Adobe Acrobat software and comfortable with other software applications At least 2-3 years of experience at UT-Austin
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Qualifications Experience with field experiments, applied microeconomics (education, housing, labor), administrative data, or AI/machine learning applications in social science research. Salary Range $75,000
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to classified information at level appropriate to project requirements of the position. Preferred Qualifications Master’s degree in Electrical Engineering or Computer Science with focus on networked systems. Two
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to attach all additional materials listed may affect candidates being considered for the position. Resume/CV 3 work references with their contact information; at least one reference should be from a
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, and deliver science-quality reduced data products. Software is a key part of GMTNIRS. This position will report to Dr. Gregory Mace (PI), and will be a vital team member throughout the project. Purpose
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flexibly in a fast-paced environment with minimal guidance. Ability to address individuals and information with a high degree of sensitivity and confidentiality in various situations. Capacity to work well
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transmittal documents, set up documents for signature complete file set-up and data entry create project status reports, and perform follow-up. Manage FERPA review requests. Manage proposal, extension, and
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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 workers: You will be prompted
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milling runs and collect basic metrology or performance data using tools such as profilometers, ellipsometers, SEM, and endpoint diagnostics. Assist engineers and researchers by ensuring tools are properly