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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
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of Standards and Technology (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects
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, supernovae, cosmology, or related areas and/or photometry is welcome but not required; strong quantitative and computational skills are essential. The position offers opportunities to lead independent projects
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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