476 parallel-and-distributed-computing positions at University of Maryland, Baltimore
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participates in a retirement program (pension or optional retirement plan/ORP) that must be selected and is effective on your date of hire. Exempt regular staff receive a generous PAID leave package that
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and years in rank. This salary range does not include all components of the Radiation Oncology faculty compensation program or pay from participation in Radiation Oncology variable compensation
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models, and clinical cohorts to uncover mechanisms by which early-life gut microbial metabolism shapes host immunity. We welcome applicants with backgrounds in computational biology, molecular microbiology
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with additional exciting perks that employees can take advantage of. This position participates in a retirement program (pension or optional retirement plan/ORP) that must be selected and is effective
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wellness, work/life balance, and professional development, along with additional exciting perks that employees can take advantage of. This position participates in a retirement program (pension), effective
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providers. • Clinical Trials Program: A major perk of this position is the fully integrated clinical trials program between the main campus and community practice sites. With dedicated on-site research
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to, measure development, data analysis, manuscript writing, and grant writing. The successful applicant will work in a multidisciplinary research team supported by an advanced data management and computational
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Institute for Educators Teaching Certificate program and as needed in the departments of Organizational Systems and Adult Health (OSAH) and Family and Community Health (FCH). This position will be based
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resources to assist patients in managing their reproductive health decisions The successful candidate will be hired as Instructor in the Department of OBGYN and active in the UMSOM program for the Masters in
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presentations. The successful applicant will work in a multidisciplinary research team supported by an advanced data management and computational infrastructure to perform data analyses, develop and/or implement