37 machine-learning "https:" "https:" "https:" "https:" "https:" "Dana Farber Cancer Institute" research jobs at Johns Hopkins University
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computer programs to review data. Assist with data cleaning measures to ensure accuracy of data and preparation of tables. Lead basic activities such as data collection and data entry. May lead specific
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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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capabilities to aid in the predictive engineering of biological systems, such as proteins, as part of the NIST Engineering Biology Program. Develop artificial intelligence and machine learning analysis pipelines
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, scholarship, and conference presentations. The Postdoctoral Fellow will also learn leadership through research protocols, data management and analysis; preparation of manuscripts, grant proposals, and
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Duties & 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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subject to a routine background check. Salary and benefits details are available here: https://www.hopkinsmedicine.org/som/offices/pda/policies.html Salary Range The referenced salary range represents
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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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Duties & 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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' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/ . Equal Opportunity Employer The Johns Hopkins University is committed to equal opportunity
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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 Opportunity