100 computer-science-programming-languages-"the"-"UCL"-"FEMTO-ST-institute" positions at Princeton University
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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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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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rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above. The University also offers a comprehensive benefit program to eligible employees
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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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of development. Additional duties may be assigned. Qualifications Required Qualifications: - Minimum BA/BS degree in Economics, Mathematics, Political Science, Computer Science, Statistics, or related
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, Political Science, Computer Science, Statistics, or related discipline. - Excellent research, writing, and programming skills. Knowledge of Python and an additional language such as R or Stata is essential
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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