465 coding-"https:" "https:" "https:" "https:" "https:" "https:" "University of Castilla La Mancha" positions at Cornell University in United States
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This position will not supervise anyone. To apply: Please apply via Academic Jobs Online ( https://academicjobsonline.org/ajo/jobs/31628 https://academicjobsonline.org/ajo/jobs/31628 ">). Qualified candidates
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. Knowledge debugging of computer code commonly used in social science research. Demonstrated capability with preparation of well-written, concise, error-free reporting skills. Knowledge of empirical social
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rewards program that offers several benefits options to meet your needs. More information on our wonderful programs can be found at https://hr.cornell.edu/jobs/your-total-rewards . To apply: Please apply
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Cornell’s medical school. Salary and Benefits: $85,000 per year salary for 2 years $2,000 per year continuing education stipend A comprehensive benefits package (https://hr.cornell.edu/understand-your
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prior experience doing so is not required. Additional beneficial but optional experience and skills include multi-level modeling, LLM and/or NLP, behavioral coding, and/or psychophysiological monitoring
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Program Please be sure to read the Notice to Applicants found on the Jobs with CCE page: https://cals.cornell.edu/cornell-cooperative-extension/join-us/jobs How To Apply: Applicants (including current
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Insurance Voluntary Auto and Homeowner’s Insurance Voluntary Pet Insurance Voluntary New York’s College Savings Program Please be sure to read the Notice to Applicants found on the Jobs with CCE page: https
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datasets. Proficiency in R and/or Python, with demonstrated experience developing reproducible analytical workflows (e.g., version control, well-documented code). Strongly Preferred Experience developing
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Insurance Voluntary Auto and Homeowner’s Insurance Voluntary Pet Insurance Voluntary New York’s College Savings Program Please be sure to read the Notice to Applicants found on the Jobs with CCE page: https
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datasets. Proficiency in R and/or Python, with demonstrated experience developing reproducible analytical workflows (e.g., version control, well-documented code). Strongly Preferred Experience developing