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these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at https://www.usg.edu/policymanual/section8/C224
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each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2
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. Experience with histological techniques such as immunohistochemistry. Knowledge, Skills, and Abilities Knowledge of coding language such as MATLAB or Python. Excellent time-management skills. Attention
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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 372542 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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Previous Job Job Title TMDC Post-Doctoral Associate Next Job Apply for Job Job ID 372231 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546
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: January 19, 2026 (for full consideration) Apply online at AJO: https://academicjobsonline.org/ajo/jobs/31255 The Center for Data Science for Enterprise & Society at Cornell University seeks to recruit
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Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at https://www.usg.edu/policymanual/section8/C224/#p8.2.18_personnel_conduct . Additionally, USG supports
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p.m. Eastern time on February 6, 2026. All employees are subject to adherence to the State Code of Ethics which may be found at https://portal.ct.gov/Ethics/Statutes-and-Regulations . All members
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 27 days ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0331-NPP-MAR26-JPL-PlanetSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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• Proficiency in scientific programming, preferably Python or C/C++ • Strong written and oral communication skills Desired Qualifications: • Familiar with mathematical and coding aspects of neural networks