4 combinatorial-optimization Fellowship positions at University of Texas at Austin in United States
-
, 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
-
level of research productivity and output. Demonstrated interest and experience in methodological development and method optimization. Preferred Qualifications Strong background in bioinformatics and
-
. Responsibilities The research fellow will be engaged in the development of hybrid optimization methods for seismic inversion in anisotropic media and their efficient applications to active and passive source seismic
-
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