-
Details Title Postdoctoral Fellowship in Reinforcement Learning, Probabilistic Methods, and/or Interpretability School Harvard John A. Paulson School of Engineering and Applied Sciences Department
-
southern Africa. Familiarity with methods for collection and analysis of common disease survey and surveillance data, especially HIV. Experience using modern Bayesian computing and probabilistic modelling
-
using modern Bayesian computing and probabilistic modelling tools such as Stan, TMB, INLA, PyMC. Experience applying reproducible research and team science tools and workflows (e.g. Git/Github
Searches related to probabilistic forecasting
Enter an email to receive alerts for probabilistic-forecasting positions