9 parallel-computing-numerical-methods-"https:" Postdoctoral positions at Johns Hopkins University
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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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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
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Ia supernovae, Cepheid variables, etc) and geometric calibration with HST, JWST, Gaia, Rubin, Roman and future facilities. • Development of novel methods of measurement and to reduce systematic
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candidate will have expertise in theoretical particle physics and a PhD in physics or a related discipline by September 2026. Applications MUST be submitted through: https://careers.udel.edu/en-us/job/502497
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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
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- 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
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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
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of recommendation. Inquiries may be sent to Professor Chris Overstreet at c.overstreet@jhu.edu. Review of applications will continue until this position is filled. For information on benefits, please see https
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, please see https://hr.jhu.edu/benefits-worklife/ . JHU is an equal opportunity employer and welcomes applications from women and members of underrepresented groups . Related URLs: JHU Dept of Physics and