Sort by
Refine Your Search
-
Category
-
Field
-
be part of a dynamic team working collaboratively with researchers in both the Q-NEXT Materials and Device Integration and Quantum Communication thrusts on optimal hybrid device architectures
-
experimentalists, CFD experts, and computational scientists to enable cutting-edge CFD modeling & simulations on the next generation supercomputing architectures. Position Requirements Ph.D. in mechanical/aerospace
-
-center.org/software.html ). Excellent candidates are sought with experience in the development of complex scientific software architectures to support the development and deployment of MICCoM codes on pre- and
-
networks, hybrid modeling, and regularization techniques. Experience with various neural network architectures (e.g., graph neural networks, autoencoders, generative adversarial networks, etc.) Understanding
-
of energy-efficient microelectronics. The successful applicant will spearhead efforts in simulating, optimizing, and benchmarking devices and architectures based on 2-dimensional (2D) semiconductor materials
-
architectural choices that can be applied to heterogeneous national-scale quantum networks. The focus of this position is the development of a networking node based on solid-state erbium (Er3+) ions coupled
-
involving engine modelers and computational scientists to run the simulations at-scale using both current large clusters and the next generation supercomputing architectures. Work to consistently meet
-
scientists to run the simulations using the next generation supercomputing architectures. Present and publish results in peer reviewed society technical reports, journal articles, and meetings with key
-
ETL pipelines to ingest multi-modal time series data for ML model training. Develop ML models using CNN, LSTM, and Transformer architectures for applications like anomaly detection, time series
-
quantum network architectures. You also work on quantum variational algorithms to be run on near-term quantum devices. Research will be performed in close collaboration with leading scientists in applied