15 phd-machine-learning positions at Lawrence Berkeley National Laboratory in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
division. May supervise metrology laboratory staff. What is Required: PhD or equivalent in years of relevant work experience in relevant scientific or engineering disciplines, as demonstrated by a broad
-
Berkeley Lab’s (LBNL ) Energy Geosciences Division (EGD) has an opening for a Postdoctoral Researcher in Machine Learning for Geological Carbon Storage to join the team. In this exciting role, you
-
in electrochemistry research. What is Required: PhD in chemical engineering, mechanical engineering, or related field. Experience in conducting and interpreting electrochemical techniques. Excellent
-
and will advance machine learning on near-term quantum computing platforms, and provide a foundation for algorithmic development by the broader scientific and engineering scientific community. What You
-
The Computer Architecture Group and the National Energy Research Scientific Computing Center (NERSC) at Berkeley Lab have an exciting opportunity for a Postdoctoral Research Scholar to develop novel