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? In addition to salary, our Total Rewards benefits and Compensation Estimator give you a clear view of the complete package. CONTEXT OF THE JOB: The Department of Chemistry and Biochemistry is a
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and integrative computational and statistical analyses. Recent studies from the lab have demonstrated that circular RNAs (circRNAs) are associated with Alzheimer’s disease status and when measuring in
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Website: https://www.systemshematology.org (link is external) How to Submit Application Materials: Please email Asiri (asiri at stanford.edu) Does this position pay above the required minimum
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
Intelligence, Computational Biophysics and Chemistry, and Drug Discovery. The successful candidate will contribute to the development of novel theoretical and computational methods as well as advanced AI
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
Computational Medicine Program at the University of North Carolina – Chapel Hill (http://miaolab.org ) invites applications for a Postdoctoral position in AI driven drug discovery and accelerated molecular
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few- and many-body systems, and quantum computing. Candidates in all these areas are strongly encouraged to apply. Scientists in the group working in these areas include Joe Carlson, Stefano Gandolfi
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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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execute experiments, analyze complex data sets, and interpret physical measurements. Experience with vacuum-based systems, surface or solid-state characterization, and scientific computing is preferred
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: Cambridge, Massachusetts 02139, United States of America [map ] Subject Areas: Philosophy / Ethics , Ethics of Computing , Social and Political Philosophy Starting Date: 2026/07/01 Salary Range: $71,000
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experience in computational and machine learning approaches for use in the quantitative measurement of human learning and its associated behaviors and motivational constructs. A strong applicant will hold Ph.D