126 structures-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"LGEF" positions at University of Texas at Austin
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experience is a plus. Familiarity with the organizational structures, processes and procedures of The University of Texas at Austin or another institution of higher education. Salary Range $69,500+ depending
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availability of plasma etching, ALE, and ion milling tools to meet facility uptime and capability targets. Troubleshoot process deviations and tool-related issues using structured root cause analysis. Monitor
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. Advanced proficiency with Computer Aided Design (CAD) software (e.g, Creo, Solidworks) and Finite Element Analysis (FEA) software packages (e.g., ANSYS, COMSOL) for the design and structural/modal analysis
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undergraduate and/or master’s-level courses; placement, monitoring, and evaluation of students’ practicum experiences; and, service to the university through committee structures, the Practicum Education Program
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scalable data pipelines for structured and unstructured data across clinical, operational, and financial systems. Manages ETL/ELT processes using tools such as Apache Spark, Kafka, Airflow, and other modern
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substituted as appropriate. Preferred Qualifications MS in Psychology or a related field and two or more years of full-time research experience. Experience with psychological research involving structured
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development workshops and conferences. Provides mentorship and training to junior research staff. Adheres to internal controls and reporting structure. Performs related duties as required. Participant
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how research is conceived, supported, and advanced by building the structures, governance, and culture that allow bold ideas and interdisciplinary teams to thrive. You will unite investigators across
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trades required for the maintenance, repair, and operation of Applied Research Laboratories (ARL) Facilities. Responsibilities Rough Carpentry. Wall assembly. Erect metal structures. Install water and air
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develops scalable architectures for structured and unstructured data. Integrates and consolidates data from multiple systems—such as disparate databases and electronic health records—into unified