2 gpu positions at Stanford University

Lecturer

Stanford University | California City, California | United States | 5 days ago

GPU programming using libraries like NumPy, SciPy, and PyCUDA. Students should also learn how to properly interface C/C++ with Python using, for example, FFI or ctypes. Given the growing importance

Open Postdoctoral position, faculty mentor Emily Alsentzer

Stanford University | Stanford, California | United States | about 1 month ago

research in ML for Health, including HIPAA-compliant compute infrastructure with high memory GPUs and access to Stanford Healthcare data, which includes EHRs for over 5M patients and 100M clinical notes