219 parallel-computing-numerical-methods-"Multiple" Postdoctoral positions at Princeton University
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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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The condensed matter spectroscopy group at Princeton University invites applications for multiple Postdoctoral Research or more senior positions to work in experimental condensed matter physics with
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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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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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quantitative and computational social science, addressing a diverse array of new data and analytic challenges, facilitating impactful multidisciplinary collaboration, scholarly advancement, and the creation
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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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postdoctoral research position available in the area of phylogenomics to work with Professor Tiago Simes. The Simes lab is broadly interested in phylogenetic methods and applications, using morphological and
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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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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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integer optimization programming, energy-related techno-economic assessment, and geospatial modeling methods and tools. Applicants should have strong, demonstrated research ability, and excellent English