27 parallel-processing-bioinformatics "https:" research jobs at Johns Hopkins University
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standard tools and 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
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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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reasonably determined by the University. Total Rewards Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https
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, including years of work experience. Generally, NIH guidelines for postdoctoral fellows are followed based on your post-doctoral years of experience (https://grants.nih.gov/grants/guide/notice-files/NOT-OD-25
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or similar functions/tasks for research study(ies) in support of a PI or a research team. Specific Duties & Responsibilities Run routine and ad hoc reports. Use standard tools and computer programs to review
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, please see https://hr.jhu.edu/benefits-worklife/ . JHU is an equal opportunity employer and welcomes applications from women and members of underrepresented groups . Related URLs: JHU Dept of Physics and
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at dspelle1@jh.edu. Review of applications will begin June 1, 2025. Expected start date is August 2025. For information on benefits, please see https://hr.jhu.edu/benefits-worklife/ . JHU is an equal
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. Applications MUST be submitted through: https://careers.udel.edu/en-us/job/502497/post-doctoral-researcher-physics-and-astronomy Application Materials Required: Further Info: http://physics-astronomy.jhu.edu
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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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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