Postdoc: ML for BUQ in ALICE Physics

A leading research laboratory in California is seeking a post-doctoral researcher focusing on Machine Learning for Bayesian Uncertainty Quantification and physics data analysis. This two-year position requires a recent Ph.D. in nuclear physics or a related field, with strong data analysis and computational skills. The role involves developing ML approaches for Bayesian inference analysis and participating in ALICE physics analyses. Applications are accepted on a rolling basis until the position is filled. #J-18808-Ljbffr