-
unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and distributed intelligence across the computing continuum. In
-
: The design and analysis of computational methods that accelerate AI/ML when applied to large scientific data sets; Energy efficient physics-aware algorithms, capable of distributed learning on high performance
-
). The selected candidate will support modernization efforts by: Developing FPGA designs based on the MicroTCA platform for applications ranging from distributed timing synchronization, low latency fault protection
Enter an email to receive alerts for distributed-"https:" positions