Sort by
Refine Your Search
-
, train and test novel machine-learning-based solutions on top-tier super-computing hardware Work in an interdisciplinary team of engineers, computer scientists, and life scientists Regularly participate in
-
. Perform on-site measurements, troubleshoot hardware issues, and maintain data logging systems. Coordinate with project partners, manufacturers, and facility managers. 5. Documentation & Dissemination
-
-computing hardware Work in an interdisciplinary team of engineers, computer scientists, and life scientists Regularly participate in international conferences to present your own work, and learn about state
-
services across the University and beyond. These resources cover a broad range of research needs, from consultation and collaboration with domain experts, to hardware and software resources, to education and
-
organizational and documentation skills Working knowledge of Microsoft Office (Word and Excel) Excellent written communication Technically capable with ability to quickly become familiar with hardware, software