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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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, 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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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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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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. 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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/IP Linux network systems including security settings, audit mechanisms, compliance mechanisms and infrastructure mechanisms. Design and develop information security automation of modern computer Linux
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time Paid holidays Please visit our Human Resources (HR) website to learn more about the total benefits offered Purpose To contribute to the construction and application of mechanistic and statistical
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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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://hr.utexas.edu/ to learn more about the total benefits offered when you join our team! Purpose Responsible for accounts payable transactions, reimbursements, compliance with UT’s policies and procedures, customer
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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