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delivers on the promises of democracy through public policy. We seek accomplished scholars who use rigorous methods to study how public policy shapes civic identity, civic participation, and disputes about
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at time of application) Applicants must have a PhD (or equivalent international degree), or be enrolled in a PhD or equivalent international degree-granting program at the time of application. Preferred
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: environmental and Earth science, energy systems and engineering, and mixed-method social science approaches to natural resources. We welcome applications from scholars who also have a capacity for
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responsibilities for this position include the development of computational models to simulate scintillator properties using time-dependent density functional theory and Monte Carlo methods, analysis and
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, and the Center for Human-Compatible AI. We develop AI methods for applications in the health and social sciences, focusing in particular on improving health and reducing inequality. We seek applicants
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. Innovations in Screening and Computational Approaches: High-content and computational (AI/ML) methods to access expanded chemical space, including DNA-encoded libraries and mRNA display technologies. Human
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Conservation); Q3 (Nonrenewable Resources and Conservation);; Q5 (Environmental Economics ); O1 (Economic Development); C1 (Econometric and Statistical Methods and Methodology); A1 (General Economics) The
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dedicated team to develop data analytics software in terabyte- to petabyte-scale imaging projects. The incumbents will develop and refine machine learning applications and manage projects and provide regular
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Monte Carlo methods, analysis and interpretation of data to validate theoretical models, manuscript development, and communication of research at relevant scientific meetings. The successful candidate
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contaminants using advanced mixtures and machine learning techniques; applying targeted and innovative non-targeted analysis methods to detect and characterize the presence of novel hazardous substances in