Sort by
Refine Your Search
-
Strong background in communication theory, signal processing, and wireless communications, Extensive experience in physical (PHY) layer algorithm design and performance analysis, Proven track record
-
that amplify human potential. The successful candidate will engage in innovative research projects in ML, focusing on developing novel ML algorithms, enhancing human-AI collaboration, and exploring systems
-
on innovative AI methodologies in areas such as renewable energy integration (online forecasting tools and renewable energy management systems), smart transmission and distribution networks, AI-driven smart grid
-
hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In order to have the best performance (fastest execution) for a given Tiramisu program, many code optimizations should be applied