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determination of the flux and fluence of incident atoms, ions, and gases; and (iii) quantitative analysis of deuterium (D) retention and thermal stability of the retained D using TPD. Surfaces will be exposed
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Department of Chemical and Biological Engineering at Princeton University. The position is in the broad area of renewable energy systems synthesis, analysis, and optimization. The goal of the project is to
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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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construction activities that are associated with the disciplined allocation of capital to large-scale infrastructure projects by corporations. The analysis is expected to identify key development
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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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subdivisions of the squamate body plan. The candidate will work towards developing computational resources that assist in the data management and analysis of genomic data and its integration with phenotypic data
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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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. The candidate will work towards developing computational resources that assist in the data management and analysis of genomic data and its integration with phenotypic data. Major project goals will include
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research specialization in Political Theory. We understand Political Theory broadly to include the history of political thought, normative analysis, and intellectual projects involving work jointly with
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differential equations, computational fluid dynamics, material science, dynamical systems, numerical analysis, stochastic analysis, graph theory and applications, mathematical biology, financial mathematics