146 parallel-processing-bioinformatics positions at Wayne State University in United States
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statistical and/or bioinformatics analysis and prepare reports based on plans devised by faculty members. - Assist in preparing manuscripts and abstracts, as well as proofreading accepted manuscripts prior
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statistical and/or bioinformatics analysis and prepare reports based on plans devised by faculty members. - Assist in preparing manuscripts and abstracts, as well as proofreading accepted manuscripts prior
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of storing, processing, and retrieving information in acoustic waves that complement conventional quantum technologies. For more information about the research/project, please see: New Frontiers of Sound
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), such as phthalates, sperm epigenetics, and embryo development. In parallel to our human studies, we examine the embryonic inheritance of sperm epigenetics after preconception environmental exposures in
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duties as assigned. Unique duties: The Department of Obstetrics and Gynecology seeks a highly motivated Bioinformatics Research Associate to join our dynamic team at Wayne State University. This position
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/Gynecology is seeking a Bioinformatics Scientist to support cutting-edge research projects in the area of Reproductive Sciences by applying advanced computational techniques to analyze and interpret large
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disrupting compounds (EDCs), such as phthalates, sperm epigenetics, and embryo development. In parallel to our human studies, we are examining embryonic inheritance of sperm epigenetics after preconception
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resource processes and transactions for the HR Consultant and Director of Human Resources. Perform human resource transactional support and work collaboratively as member of HR team to assist with all phases
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. Manage admissions process working with Program Director and Admissions Committee. Make applicant assignments to Admissions Committee members and prepare monthly meeting agenda. Coordinate
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other major funding sources. Required qualifications A Ph.D. in bioinformatics, computer science, computer engineering or statistics, and excellent programming skills (R, Java, web programming