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-Intensive Engineering and Science (part of the new Data Science and AI center), and at the National Radio Astronomy Observatory. Required qualifications are: PhD in Astronomy, Astrophysics, Physics, or a
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Observatory for Rare Events (CUORE) and the CUORE Upgrade with Particle IDentification. Candidates should have a PhD in experimental nuclear or particle physics, or the equivalent. Preference will be given
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μeV, with a range of 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
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expected to work closely with graduate and undergraduate students. Applicants should have a PhD in physics prior to the start date and significant research experience with atomic and optical systems
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participate in ongoing collaborations with experimental and theory groups at JHU, as well as Stanford University and Mainz. Applicants should have a PhD prior to the start date and significant research
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other research and administrative staff. This position will also be responsible for basic data collection and management for several research projects. Screens and recruits potential study participants
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demonstrated commitment to scholarship in child or family mental health. Preference given to applicants with histories of prior research funding and first-authored data-based publications in refereed journals
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& neuroscience, computer science and applied mathematics and statistics. This research program strongly benefits from Johns Hopkins massive AI initiative, including the creation the "Data Science and AI Institute