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Director of LISH (Dr. Ramona Pop). The position involves conducting rigorous empirical research using field experiments, large-scale data analysis, and computational methods to advance our understanding
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and Asia. This position offers an excellent opportunity to strengthen skills in primary data collection, advanced statistical analysis, evidence synthesis, proposal development, and scientific writing
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to) statistical modeling in protein folding, neurobiology, role of synthetic data in statistical analysis, machine learning and AI methods, causal inference in biomedical data. The appointment will be for up
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faculty and researchers in the Economics Department will be a critical component of the fellow’s professional development. The fellow may begin their appointment prior to defending their dissertation
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technologies and computational data analysis preferred. Strong publication record and evidence of research independence. Excellent communication, teamwork, and problem-solving skills. Additional Qualifications
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epidemiological analysis of HIV epidemics in eastern and southern Africa. Postholders will be responsible for developing and leading analytical and modelling components of internationally collaborative projects
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system transformation. Fellows will engage in rigorous empirical, computational, and theoretical research that integrates engineering models of power systems with modern econometric and economic analysis
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, analyzing historical and experimental data, and writing research papers targeted at peer reviewed social science journals. Candidates should have good familiarity with: · Causal analysis and experimental
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. Activities may include training and supervising research assistants; experiment design, data collection and analysis, manuscript preparation and grant-writing, and collaboration with the research lab
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appointment). Strong background in statistical or machine learning methodology, optimization, or high-dimensional data analysis. Proficiency in R or Python; experience with deep learning, causal inference