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of squamate reptiles; the largest group of terrestrial vertebrates on Earth today with 11,000 species. A Ph.D. in Evolutionary Biology, Computational Biology, or related fields, is required. The work will focus
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. Master's degree or enrollment in a Ph.D. program required; Ph.D. or M.A. working toward Ph.D. preferred. Preference will be given to candidates with a background in Linguistics, SLA, or Applied Linguistics
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computer programming in R and Python *Formal training or experience applying quantitative and spatial methods to human-environment questions *Excellent academic writing and communication skills in English
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create analytic datasets and perform complex statistical analyses of data, using advanced econometric and other statistical methods. The ability to write computer programs to manipulate information, devise
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the strategic value of such programs. The RAM will oversee the life-cycle of sponsored program proposals and awards supporting collaborations between PU/PPPL, through joint appointment programs and otherwise
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: 275372903 Position: Research Scholar - ISS Description: Innovations for Successful Societies (ISS), a program within the Princeton School of Public and International Affairs, invites outstanding researchers
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5,200 undergraduate students and 2,600 graduate students. The University's generous financial aid program ensures that talented students from all economic backgrounds can afford a Princeton education
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microscopy and/or structural biology; Fluent in English language and writing skills. Some experience in cryo-EM or eukaryotic protein expression is a plus.The successful candidate will join a highly
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publications. Build awareness of software development tools and techniques, software engineering best practices, programming languages, high-performance computing hardware, and computational research solutions
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of metabolic cage collaborations is also a feature of this position. Essential: -A strong background in science and a bachelor's degree is required. -Math and computer proficiency, along with meticulous record