5 combinatorial-optimization research jobs at University of Texas at Austin in United States
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, 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
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. Experience with Python. Preferred Qualifications Previous experience in AI for healthcare research. Hands-on experience with deep model training, optimization, and development. Familiarity with biomedical
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, advanced optimization and control of semiconductor manufacturing processes and systems. Experience in working with advanced AI/ML software packages and super-computing cluster systems, including Hadoop
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level of research productivity and output. Demonstrated interest and experience in methodological development and method optimization. Preferred Qualifications Strong background in bioinformatics and
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providers and other clinical staff to develop excellence in service and clinical care, optimal outcomes, and efficient resource utilization. Train and mentor students, residents and fellows on new models