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empirical research and/or theoretical modeling, who are motivated to incorporate their methods into energy modeling. All applicants must demonstrate strong research capabilities, be comfortable working in
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each semester, assist in organizing research-based events (e.g., speaker series, symposia, or reading groups), present their work at research methods and field-specific seminars, assist with DDSS
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. Some experience with first-principle methods (FP/DFT) and/or other forms of electronic and magnetic structure theory and calculations is also expected. The successful candidate will have a strong
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energy-system transition modeling, linear and mixed integer optimization programming, energy-related techno-economic assessment, and geospatial modeling methods and tools. Applicants should have strong
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., speaker series, symposia, or reading groups), present their work at research methods and field-specific seminars, assist with DDSS projects on occasion, and offer consultation to faculty, graduate students
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criteria are the quality of the applicant's research on the linkages between finance and macroeconomics broadly. The candidate's work may use empirical or theoretical methods to address important policy
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for candidates with a Ph.D. in economics, management, political economy, or related areas with expertise either in game theory, particularly mechanism design or experimental methods and machine learning. The term
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design or experimental methods and machine learning. The term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility of renewal pending satisfactory
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of phylogenomics to work with Professor Tiago Simões. The Simões lab is broadly interested in phylogenetic methods and applications, using morphological and genomic data for reconstructing evolutionary
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polymer physics. The successful candidate will develop strategies to design, synthesize, and characterize the properties of soft materials using advanced microscopy techniques and related methods