15 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Plymouth" research jobs at University of Pittsburgh
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and experience. Job responsibilities include: • Develop or identify quantitative tools for imaging data processing, including diffusion, anatomic, and BOLD fMRI. • Oversee data quality assurance/quality
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members; seven research programs in basic, translational, clinical, and population sciences; ten shared resources that receive funding from our NCI Cancer Center Support Grant https
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as a Research Instructor or equivalent. Candidates should have an exceptional scientific research record encompassing grant writing, data visualization, and IRB regulatory statutes. Candidates will
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Talent Center at https://www.join.pitt.edu/#25006051 . Assignment Category: Full-time regular Campus: Pittsburgh Child Protection Clearances: Not Applicable Required Attachments: Curriculum Vitae Optional
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NMRL/WHPRC see http:// www.nmrl.pitt.edu/. Job Summary Assists with and/or conducts laboratory experiments and routine tests and scientific tasks. Performs data and specimen collection and processing as
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to support large-scale studies Lead or assist with project coordination, data analysis, manuscript preparation, and grant development Engage in mentoring and training activities Qualifications Ph.D. in
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NMRL/WHPRC see http:// www.nmrl.pitt.edu/. Job Summary Assists with and/or conducts laboratory experiments and routine tests and scientific tasks. Performs data and specimen collection and processing as
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chemistry and greenhouse gas analytical systems (25%), build data management infrastructure, including LIMS implementation (15%), publish synthesis papers integrating findings across network projects (15
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Division) RANK/TITLE: Research Assistant Professor (appointment stream) 1. Scientific Responsibilities • Lead data analysis and interpretation to produce reliable and well-supported findings. • Plan
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projects and the C4 Center more generally. The Research Assistant will support day-to-day operations of multiple projects including assisting with data collection and data entry, paying research participants