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Professor Fei Lu and Bloomberg Distinguished Professor Mauro Maggioni on topics including mathematical foundations of data science and statistical/machine learning, with an emphasis on inverse problems and in
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, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program. Routine Uses
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in all aspects of the studies from simulations/phantoms study design, data acquisition, in vivo animal experiments, data analysis, and manuscript writing. Key Responsibilities: Organizing and
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sensitivity to QCD axions extending across nearly a decade of parameter space. The successful candidate is expected to participate in the operations and data analysis of the HAYSTAC experiment, as well as in
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may be sent to Professor Danielle H. Speller at dspelle1@jh.edu. Review of applications will begin on June 1, 2025. Expected start date will be August 2025 (negotiable). For information on benefits
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of rigorous methodological approaches, including causal inference, quasi-experimental designs, and the use of large-scale claims data and electronic health records. The Fellow is expected to be highly
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observational with these facilities. Candidates should have a Ph.D. in astronomy, astrophysics, or a related field by the start date, and experience in observational data analysis. Expertise in variable stars
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is filled. For information on benefits, please see https://hr.jhu.edu/benefits-worklife/ . Johns Hopkins University is an equal opportunity employer and does not discriminate on the basis of gender