41 parallel-processing-bioinformatics Fellowship research jobs at University of Michigan
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fields. Strong background in medical image analysis and signal processing. Proficiency in programming, particularly in Python. Demonstrated ability to publish in peer-reviewed journals. Motivated, self
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other U-M campuses. Application Deadline Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening
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compliance with the Fair Credit Reporting Act. Application Deadline Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after
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. Application Deadline Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting
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well as transfers from other U-M campuses. Application Deadline Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting
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days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended
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, operation of the scanner, data acquisition and analysis, image evaluation, and statistical analysis. The fellow will also be expected to prepare manuscripts and conference abstracts related to projects and
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the Biosocial Research Collaborative. The fellow will contribute to several projects investigating how the social environment shapes biological processes of aging. One primary focus will be on an NIH-funded R01
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Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and
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cryo-EM and/or cryo-ET workflows Experience in image processing and/or biostatics Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring