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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
university to support outstanding research. We foster programs in the areas of basic, translational, mechanistic and population research. Position Summary The Miao Lab in the Computational Medicine Program and
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to collaborate with faculty from the Lucy Family Institute for Data and Society and the ND Population Analytics Program on other research projects and to advance the candidate's own scholarly agenda as well
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. The University also offers a comprehensive benefits program to eligible employees. Please see this link for more information. PI283103069 Create a Job Match for Similar Jobs About Princeton University Princeton
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represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly. The University also offers a comprehensive benefits program
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 05-Mar-26 Location: Pittsburgh, PA Categories: Academic/Faculty Internal Number: 182578 The Computer
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Number: 269896 Minimum Education and Experience: The individual must have completed a PhD in biology, biochemistry, molecular biology, or metabolic engineering with extensive computational research and lab
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of the experiment, from data analysis to detector operations and HL-LHC detector upgrades. The successful candidate is expected to engage actively in CMS measurements as well as the smart pixels program (https
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Science and Systems Posting Number P260054 Posting Link https://www.ubjobs.buffalo.edu/postings/61570 Employer State Position Type UUP Professional Professional Appointment Term Term Salary Grade SL1
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The Computer Science Department invites applications for postdoctoral and more senior research positions. Individuals with evidence of experience in scholarly research and a strong commitment to
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, working with Professor Russell Funk. This position focuses on developing and applying mathematical and computational methods to understand how scientific knowledge evolves over time. About the Project