Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Previous experience in AI for healthcare research. Hands-on experience with deep model training, optimization, and development. Familiarity with biomedical datasets (e.g., medical imaging, speech, or small
-
on developing and optimizing design kits, simulation methodologies, and reference flows from concept to deployment, acting as a key technical contributor and innovator. Responsibilities Drive the hands
-
manner. This includes installing, monitoring, diagnosing, repairing, maintaining, and upgrading all hardware, software, and audio-visual equipment to ensure optimal performance. Responsibilities Provide
-
, and correlation searches. Develop and manage comprehensive documentation, artifacts, procedures, and processes for the optimal management of the Splunk infrastructure. Implement Cribl-based data
-
maximum optimization. Provide relevant program information and expertise to support marketing and business development efforts, student support, and IT planning and support. Required Qualifications
-
scientific leadership with research autonomy in an academic environment. The staff scientist will play a central role in overseeing and optimizing all mass spectrometry platforms within the lab, including
-
needed to ensure optimal outcomes for students and recruiters. COLLABORATE FOR OPTIMAL OUTCOMES: Collaborate with Texas McCombs program partners to optimize the interview process and ensure employer
-
, Synopsys/Ansys, Siemens). Willingness to work on cross-stack optimizations and learn new skills. Preferred Qualifications Experience with multi-physics simulations for thermal, mechanical, and reliability
-
to publish and promote events. Coordinate with other marketing initiatives at the McCombs School of Business. Marketing Program Analysis, Reporting, and Optimization Track, report, and analyze program
-
in and out of UT-Austin. Maintain and troubleshoot mass spectrometry instruments to ensure optimal performance and availability. Provide technical consultation on sample preparation, experiment design