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developing next-generation AI methods for healthy climate adaptation. The position will focus on building and evaluating foundation models for large-scale spatiotemporal health and environmental data. Our team
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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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: develop physics-informed and physics-grounded world models that remain reliable under partial observation, where pure physics engines fall short; design methods that achieve large speed-ups in complex
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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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on type, size, location of data centers in the US, their electricity and water demand, carbon emissions; exposure to air pollution. ● Develop and/or apply methods for causal inference and machine learning
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interventions. Excellent command of advanced statistical methods, including longitudinal data analysis and complex multivariate analyses (e.g., structural equation modelling, SEM). Experience working
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of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding
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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