714 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Cornell University
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Employee Degree Program, Tuition Aid for external education, and Cornell Children's Tuition Assistance program Follow this link for more information: https://hr.cornell.edu/understand-your-benefits Employees
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Tuition Assistance program Follow this link for more information: https://hr.cornell.edu/understand-your-benefits Employees are expected to meet all of the Cornell University Staff Skills for Success
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of oneself and others. This position is part of the United Auto Workers (UAW) union. The current rate of pay is listed in the collective bargaining agreement here: https://hr.cornell.edu/sites/default/files
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to poverty alleviation, support for the elderly and disadvantaged children and youth, public health, and human rights. The postdoctoral program is designed to provide support through collaborations with
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. Supervision Exercised The individual is not expected to supervise others. To apply: Please apply via Academic Jobs Online https://academicjobsonline.org/ajo/jobs/30990 Qualified candidates should submit a short
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modeling, climate data analysis, and natural resource decision-making. The successful candidate will use data from eBird and structured monitoring programs to identify priority areas for migratory forest
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classes in the department’s Baker M.P.S. Program in Real Estate. The position will be a part time (50% or more) non-tenure track, 5-year renewable appointment, beginning July 1, 2026. The position will be
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Field Crops Entomology. The successful candidate will develop an internationally recognized research and extension program focused on Integrated Pest Management (IPM) of grain and forage crops, including
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how to apply, please visit: https://as.cornell.edu/research/klarman-fellowships Application deadline: October 15, 2025. This employer is not accepting applications for this position through
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, particularly of non-model organisms Computer programming and experience with the solution of numerical problems, machine vision, and analysis of next-generation sequencing data High-throughput screening