Sort by
Refine Your Search
-
”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case
-
-aware code acceleration paradigms (OpenCL, CUDA, SYCL, etc.) Track record of open-source code contributions Strong motivation, with evidence of independent research skills relevant to the project Personal
Searches related to open source
Enter an email to receive alerts for open-source positions