150 parallel-computing-numerical-methods-"https:" Postdoctoral positions at Princeton University
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. Applicants will be notified of the outcome of their applications in March 2026. For more information about the Global Health Program, please visit its website at https://globalhealth.princeton.edu
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and benefits, the program will provide a research fund in the amount of $3,000 per year and a shared office space. Anticipated position start date is 9/1/2026. Applicants must apply online at https
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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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of diffusion and carbonation, early-stage rheological characteristics, life cycle analysis, and design and additive manufacturing of architected materials. Previous experience in experimental, numerical, and
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recordings from human epilepsy patients and non-human primates are conducted using identical behavioral paradigms and combined with computational approaches. We are seeking an extremely motivated postdoctoral
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. Previous experience in computational modeling of atmospheric aerosols and parallel computing/software development is strongly desired. The term of appointment is based on rank. Positions at the postdoctoral
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vision and novel applications of machine learning. Advanced knowledge of R or Python is required. Intermediate knowledge in C/C++ and/or at least one SQL dialect is preferred. Apply online at https
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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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for the Postdoctoral Research Associate role . DDSS supports technical and methodological innovation in quantitative and computational social science, addressing a diverse array of new data and analytic challenges
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into their models; or 2.Computational social scientists with experience in empirical research and/or theoretical modeling, who are motivated to incorporate their methods into energy modeling. All applicants must