-
a focus on data analytics, AI, ML, advanced process control, and digital twin technologies in semiconductor manufacturing. Experience with handling industrial big data problems, physics-informed AI/ML
-
of sedimentology, geochemistry, and microbiology, and general use of destructive, extraction-based methods that are designed for the analysis of large sediment samples. These bulk methods are quantitative but
-
spirit. UT Austin, recognized by Forbes as one of America’s Best Large Employers , provides outstanding employee benefits and total rewards packages that include: Competitive health benefits (employee
Searches related to big data phd
Enter an email to receive alerts for big-data-phd positions