35 computational-physics "https:" "https:" "https:" "https:" "Simons Foundation" "Simons Foundation" research jobs at Johns Hopkins University
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fundamental physics and computational methods Vibrant research community: Strong programs across theoretical, computational, and observational astrophysics, with established connections to applied mathematics
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members of underrepresented groups. Application Materials Required: Further Info: http://physics-astronomy.jhu.edu/ 410-516-7346 The Johns Hopkins University Department of Physics and Astronomy 3400 N
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Duties and Responsibilities Run routine and ad hoc reports. Use standard tools and computer programs to review data. Assist with data cleaning measures to ensure accuracy of data and preparation of tables
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working at Johns Hopkins University More Jobs from This Employer https://main.hercjobs.org/jobs/21901504/advanced-specialty-training-program-in-astp-advanced-fellowship Return to Search Results
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working at Johns Hopkins University More Jobs from This Employer https://main.hercjobs.org/jobs/21868156/advanced-specialty-training-program-in-surgical-pathology-astp-advanced-fellowship Return to Search
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Materials Required: Further Info: http://physics-astronomy.jhu.edu/ 410-516-7346 Johns Hopkins University Department of Physics and Astronomy 3400 N.Charles Bloomberg 366 Baltimore, MD 21218
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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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, 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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Qualifications ? Ph.D. in Physics, Materials Science, or a related field with a concentration in electron microscopy methods ? Experience in the collection and processing of TEM/STEM data ? Computer programming
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applicant will have a PhD in vision science, computer science, or a related field. Experience in cloud-based and mobile image processing for rapid object and face recognition and in use of head-mounted eye