4 high-performance-computing Postdoctoral positions at University of California, Merced
-
focused primarily on developing tightly integrated sequencing experiments and computational algorithms to characterize biomolecular interactions with high throughput. This contributes to a broader project
-
publications. Preferred qualifications • Expertise in remote sensing applications to aquatic biogeochemistry, ocean color, or optical water quality. • Proficiency with cloud computing and high-performance
-
distributed computing, system software design and development for AI and digital twin applications, energy efficiency optimization, and contribute to innovative research aimed at improving food production
-
in Dr. Xiaoyi Lu’s PADSYS Lab, focusing on the exploration of high-performance and scalable systems for emerging scientific applications, real-time Big Data processing, machine/deep/federated learning