17 first-principles-calculation "https:" Fellowship positions at Johns Hopkins University
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) equipped with a cryogenic stage for surface analysis - Develop computer code (e.g. Python) for the development and analysis of optical cavities Qualifications § PhD degree in Materials, Electrical
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- Ph.D. in chemistry, physics, or a closely aligned field. - Demonstrated experience in conducting quantum scattering calculations. - Strong programming skills in languages such as Python or C/C
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Rewards Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/ . Equal
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and Radiological Science in Baltimore, MD is seeking a post-doc research fellow to be hired in the FELIX 2.0 laboratory (https://thefelixlab.jhmi.edu/ ). This is a full time, post-doc position. We
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be found here: https://hr.jhu.edu/benefits-worklife/ . Equal Opportunity Employer The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end
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information can be found here: https://hr.jhu.edu/benefits-worklife/ . Equal Opportunity Employer The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end
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. More information can be found here: https://hr.jhu.edu/benefits-worklife/ . Equal Opportunity Employer The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students
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two years, beginning July 1, 2026. Salary: $63,000 plus benefits. Qualifications The successful candidate will have: Defended a PhD in history of medicine or related field by May 31, 2026. A proven
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electron spin resonance. For more information about the group, see: https://www.nist.gov/pml/nanoscale-device-characterization-division/nanoscale-processes-and-measurements-group/scanning . U.S. Citizen
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. This position is part of the Johns Hopkins Individualized Health Initiative (Hopkins inHealth), a University-wide effort to develop precision tools that improve diagnosis, prognosis, patient stratification, and