107 computer-science-programming-languages-"the"-"U"-"O.P"-"FEMTO-ST" positions at Princeton University
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written and oral communication skills. Ability to use Peoplesoft Asset Management program. Princeton University is an Equal Opportunity and all qualified applicants will receive consideration
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, mathematics, or computer science, or in a related field (e.g., public policy, with significant coursework in economics, mathematics, statistics, and/or programming) Experience with statistical programming in
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those operating at low pressure, for the purposes of scientific discovery and engineering design. The successful candidate will achieve this objective through the application of high-performance computing
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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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particles as part of the High-Luminosity Large Hadron Collider (HL-LHC) program. The tracker will comprise six barrel layers and ten endcap layers (5+5), with each layer containing modules made up of two
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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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proactive performance management, training programs, team building and application of available technology and industry practices; interacts with external campus stakeholders regarding issues affecting DPS
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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
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evaluation.This opportunity will prepare candidates for a range of competitive positions in academia or industry that involve computational biology/chemistry, machine-learning for biological or chemical data, and