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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Hiring Range Dependent on Experience/Qualifications Proposed Start Date Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative
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proactive approach towards problem solving Knowledge of and experience in general analytical methods development and good analytical practices Maintains a working knowledge of significant developments and
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science. The postdoc will work on a variety of projects, which may include methods for large language models, the impact of artificial intelligence on society, as well as broader questions surrounding
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, or foundation models. Familiarity with atomistic simulations (e.g., density functional theory, molecular dynamics). Interest in developing broadly applicable machine-learning methods for physical sciences
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. Proficiency in R (+SAS or Python a plus), and experience working with quantitative data analysis and comprehensive understanding of statistical concepts and methods are essential. Certifications/Licenses
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 30-Jul-26 Location: East Lansing, Michigan Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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of action. The Fellow will also investigate the cellular mechanisms of drug synergy in M. tuberculosis. Among the key duties of this position are the following: Uses conventional and novel methods including
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infection and treatment studies of both viral and bacterial pathogens. Uses conventional and novel methods including advanced robotics to screen libraries of M. tuberculosis for drug tolerance and drug
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of action. The Fellow will also investigate the cellular mechanisms of drug synergy in M. tuberculosis. Among the key duties of this position are the following: Uses conventional and novel methods including
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at the intersection of climate-related exposures and worker health under the mentorship of Dr. Lee Newman. The candidate will use epidemiological methods to research the impacts of extreme weather conditions and social