89 computer-science-programming-languages-"the"-"UCL"-"U"-"O" positions at Princeton University
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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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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
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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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estimate for a full-time position; salaries for part-time positions are pro-rated accordingly. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more
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of the data Stay current with new technology and attend training sessions, taking full advantage of training opportunities provided by the SCAD/DCS program Provide staff training where needed and give
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Engineering, Computer Science/Engineering, Data Science, or a closely related field *Proficiency in Python or other tools and ML frameworks *Track record of open source contributions or tool development in AI
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Sciences Department. The successful postdoc candidate will help build a research program focused on (a) foundational research in Artificial Intelligence and Machine Learning (AI/ML), and (b) application
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on the position and factors listed above. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information. Standard Weekly Hours 40.00 Eligible
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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