160 computer-science-programming-languages-"U.S"-"U.S" Postdoctoral positions at Princeton University
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for peer reviewed publications Qualifications*Ph.D. in Environmental/Civil Engineering, Computer Science/Engineering, Data Science, or a closely related field*Proficiency in Python or other tools and ML
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expertise and proficiency with net-zero systems thinking, experience with a variety of programming languages, and familiarity with critical path planning tools, are essential. A Ph.D. in engineering
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significance in the contemporary world. The goal of the program is to support outstanding scholars of Iran and the wider Persianate world at an early stage of their careers and thus to strengthen the field
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opportunity for independent research as well as opportunities for collaboration with Princeton faculty and graduate students. Researchers may participate in the teaching program if mutually agreed, with
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program if mutually agreed, with sufficient course enrollments, and with the approval of the Office of the Dean of the Faculty. Postdoctoral Research Associates are expected to participate actively in
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opportunity for independent research as well as opportunities for collaboration with Princeton faculty and graduate students. Postdoctoral Research Associates may participate in the teaching program if mutually
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the teaching program if mutually agreed, with sufficient course enrollments, and with the approval of the Office of the Dean of the Faculty. Researchers are expected to participate actively in the intellectual
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, molecular biology, biochemistry, physics, computer science, and genetics. The term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility of renewal pending
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, computer science, electrical engineering, applied mathematics, or operations research) before May 2025 are encouraged to apply. Ideal candidates will display outstanding ability for research and a record of
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applicants will have:*Expertise conducting spatial and statistical analyses*Experience with scientific computer programming in R and Python*Formal training or experience applying quantitative and spatial