4 model-driven-engineering Postdoctoral positions at Lawrence Berkeley National Laboratory
Sort by
Refine Your Search
-
Listed
-
Field
-
to analysis of experimental data. Of particular interest will be new approaches for tackling multimodal data, quantifying uncertainty, providing rigorous theoretical guarantees, and modelling complex physics
-
for materials synthesis planning and automated solar data degradation pathway analysis based on literature data. You will support two DOE projects at 50% each. The first project is the DOE BES Data-Driven
-
Modeling. Machine Learning Interatomic Potential (MLIP) accelerated simulations. Demonstrated ability of coding in Fortran, Shell, or Python with development experiences. Deep knowledge in excited states and
-
python. Experience with machine-learning, such as training large language models. Required Application Materials: CV Cover Letter (1 page) Publication List Additional information: Application date