6 parallel-computing-numerical-methods-"Prof" Postdoctoral positions at Johns Hopkins University
-
observational cosmology, with a focus on precision measurements of the expansion history, cosmological distances and the Hubble constant. The successful candidate will work with Prof. Adam Riess (Nobel Prize in
-
internationally recognized cosmologist and data scientist with over 25 years of experience bridging theoretical cosmology, advanced computational methods and ML/AI. He co-leads the Implicit Likelihood Inference
-
PhD, Doctorate, or MD. - Strong statistical skills (e.g. experience in analysis and causal inference methods such as difference-in-differences, instrumental variables, and propensity score
-
- national intellectual community that spans the Atlantic, and will have publishing opportunities through Engelsberg Ideas . The program will build and expand upon the Kissinger Center and SAIS's strengths in
-
into concrete observational and computational strategies. This work will be carried out under the supervision of Professor Alessandra Corsi, in close connection with collaborators at the JHU’s Institute for Data
-
double-beta decay. A position is now available for the experimental axion dark matter search program at Johns Hopkins in conjunction with the HAYSTAC and ALPHA experiments. HAYSTAC (the Haloscope At Yale