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facilities to conduct software integration, testing, and meet with relevant subject-matter experts and working groups. Document TDA features and capabilities for end-users, as needed. Work with and learn new
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, and data analysis. Support the installation and testing of equipment in field locations. Other related functions, as assigned. Required Qualifications Bachelor's degree in engineering, computer or
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spending account options for medical and childcare expenses Robust free training access through LinkedIn Learning plus professional conference opportunities Tuition assistance Expansive employee discount
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, Health Professions, Experiential Learning staff and College leadership. The Data Analyst will oversee the data and evaluation needs for the new Career success initiative, including: assessment planning
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for purchasing computer or other tech equipment as needed based on maintenance schedules and new staff needs; manage office supply purchasing and inventory (e.g., parking vouchers, office/break room supplies
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at UT Austin across the general areas of 1. Machine learning for accelerating computational modelling of materials, 2. Computer vision for advanced imaging in materials characterization, 3. Large
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of the cluster initiative is to strengthen expertise in Foundational AI to accelerate materials research at UT Austin across the general areas of 1. Machine learning for accelerating computational modelling
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. Responsibilities Manage use of equipment in Innovation lab Work with faculty and students to develop instrumentation and infrastructure for research Teach and mentor students on technology and science Contribute
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, Machine Learning, or a related technical field. Hands-on familiarity with leading AI development platforms and tools such as Azure AI Foundry, AWS Bedrock, and Google Vertex. Demonstrated knowledge
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403(b) and a Deferred Compensation program 457(b) Flexible spending account options for medical and childcare expenses Robust free training access through LinkedIn Learning plus professional conference