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, computational fluid dynamics and material science, dynamical systems, numerical analysis, stochastic problems and stochastic analysis, graph theory and applications, mathematical biology, financial mathematics
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and additive manufacturing of architected materials. Previous experience in experimental, numerical, and parametric design research and experience is a plus. The project involves entrepreneurial
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develop methods for the synthesis and analysis of systems producing renewable fuels and chemicals; and use these methods, in collaboration with other researchers at Princeton and other institutions
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://pritykinlab.princeton.edu) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi-modal single-cell, spatial and genome editing
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. The candidate's work may use empirical or theoretical methods to address important policy questions. The position offers an outstanding opportunity for independent research, as well as opportunities
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, analysis, and optimization. The goal of the project is to develop methods for the synthesis and analysis of systems producing renewable fuels and chemicals; and use these methods, in collaboration with other
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advanced microscopy techniques and related methods. Candidates who are nearing completion of their Ph.D. (i.e. with a confirmed defense date) or hold a Ph.D. in chemical engineering, chemistry, materials
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technologies. The Pritykin lab (http://pritykinlab.princeton.edu ) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi
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methods to human-environment questions*Excellent academic writing and communication skills in English*Strong publication record (relative to degree timing)*Collaborative spirit in interacting with
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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