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, inflammation and immune-related disorders and where adherence to protocols is essential. The role involves a combination of performing laboratory technical assays, quality audits, research and development (R&D
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University (ISU) is seeking an R&D Engineer II to play a key role in designing, developing, testing, and implementing advanced machinery systems that integrate electronics, software, and mechanical components
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Science, or related field from an accredited institution. Two (2) years of experience analyzing data using high-performance computing. Two (2) or more years of experience with R and/or Python packages. Two (2) or more
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, specifically investigating the mechanism of R-loop-mediated epigenetic changes and time-resolved transcriptomic changes in cancer cells. The ideal applicant will hold a Ph.D. in cancer biology, chromosome
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for this position has been assessed at a level #4 on a scale of 0-4. Qualifications: PhD in bioinformatics and metabolomics and 5 years of relevant research experience Coding experience with at least two languages (R
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Requisition Id 15216 Overview: At Oak Ridge National Laboratory, we have a unique opportunity for a highly motivated R&D Associate Staff Member to join our Multiphysics CFD Applications group in
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 19 days ago
to resolution; in-depth knowledge of preventative maintenance standards and practices related to plumbing systems, HVAC/R plumbing systems and experience with building and underground utility systems such as
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Department: Col of Visual and Performing Arts Classification: 9-month Instructional Faculty Job Category: Instructional Faculty Job Type: Full-Time Work Schedule: N/A - I/R Faculty Location: Fairfax
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requests and inquiries sent to the Office of Registration and Records by email, phone or other electronic means. Schedule: Two Open Positions: First position onsite hours: 10am-6:30pm M-R, 8am-4:30pm F
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regression models using Stata or R. Collecting, managing, and structuring quantitative datasets Conceptualization of suitable empirical methodologies and models Statistical analyses of complex datasets and