60 machine-learning Postdoctoral positions at National Renewable Energy Laboratory NREL
Sort by
Refine Your Search
-
Posting Title Postdoctoral Researcher – Machine Learning for Protein Design and Engineering . Location CO - Golden . Position Type Postdoc (Fixed Term) . Hours Per Week 40 . Working at NREL
-
ANSYS and SolidWorks or similar. Experience in multiphase (gas-particle two phase systems), thermal energy storage, and/or energy technology development and demonstration. Knowledge of machine learning
-
simulation tools for testing and optimizing optimal integration of advanced manufacturing technologies into construction processes. Utilize machine learning-powered predictive analysis tools to identify
-
supportive, inclusive, and flexible work environment, you’ll have the opportunity to engage through our ten employee resource groups, numerous employee-driven clubs, and learning and professional development
-
, inclusive, and flexible work environment, you’ll have the opportunity to engage through our ten employee resource groups, numerous employee-driven clubs, and learning and professional development classes
-
have the opportunity to engage through our ten employee resource groups, numerous employee-driven clubs, and learning and professional development classes. NREL supports inclusive, diverse, and unbiased
-
have the opportunity to engage through our ten employee resource groups, numerous employee-driven clubs, and learning and professional development classes. NREL supports inclusive, diverse, and unbiased
-
opportunity to engage through our ten employee resource groups, numerous employee-driven clubs, and learning and professional development classes. NREL supports inclusive, diverse, and unbiased hiring practices
-
control, and optimization Knowledge of Artificial Intelligence, machine learning, deep learning, active learning, transfer learning, etc. Knowledge of statistical techniques including sampling strategies
-
traditional (four-step) travel models, and advanced agent-based transportation models is strongly preferred. Application of machine learning techniques to travel behavior modeling is desired. Specific