13 computational-physics "https:" "https:" "https:" "https:" "Caltech" Fellowship research jobs at Johns Hopkins University
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affirmative action/equal opportunity employer, and welcomes applications from women and members of underrepresented groups. Application Materials Required: Further Info: http://physics-astronomy.jhu.edu/ 410
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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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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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, 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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letters of reference on this form --https://www.hopkinsmedicine.org/-/media/physical-medicine-rehabilitation/documents/ot-edu/lor-request.docx . You will have the opportunity to send a message to your
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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
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, the East Baltimore Health and Medicine campus, the JHU Applied Physics Laboratory in Laurel, MD, and the Washington D.C. campus. Program Information and Benefits - Competitive salary - Academic travel
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, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program. Routine Uses: NIST will use the information collected
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computational methods for understanding complex economic and financial systems. Research Areas: Applied statistics and econometrics with emphasis on high-dimensional data analysis, forecasting and predictive