173 parallel-processing-bioinformatics "https:" research jobs at Princeton University
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techniques; large data processing and high performance computing; advanced causal inference and statistics; computer vision and novel applications of machine learning. Advanced knowledge of R or Python is
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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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stylized quantitative representations of political and institutional processes, and then incorporate them into (or couple with) global and subnational energy models to study core policy questions related
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should have experience with dual-comb spectroscopy and the acquisition and processing of associated signals and data. Essential Qualifications: Candidates must hold a Ph.D.; have the ability to work
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science, electrical and computer engineering, sociology, public policy, information science, communication, economics, political science, psychology, philosophy, and related technology disciplines. Selected candidates
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paper, and contact details for three academic references. For questions about the position, contact Tejal Johri (Associate Director, RPDE) at rpde@princeton.edu. The submission must be online via https
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trade uncertainties on investments, etc.), develop stylized quantitative representations of political and institutional processes, and then incorporate them into (or couple with) global and subnational
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the Department of Chemistry and Prof. Martin Jonikas in the Department of Molectular Biology. Applicants should have experience with dual-comb spectroscopy and the acquisition and processing of associated signals
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and bioinformatics The first year of the program combines taught courses with laboratory rotations to broaden the student’s knowledge of the subject area. At the end of the first year, students will
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of renewal pending satisfactory performance and continued funding; those hired at more senior ranks may have multi-year appointments. Applicants must apply online at https://puwebp.princeton.edu/AcadHire