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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 370113 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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are experience collecting and analyzing data from long-form recordings, experience in working with large longitudinal datasets, proficiency in analytical coding environments (e.g., R, Python), proficiency in
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National Aeronautics and Space Administration (NASA) | Houston, Texas | United States | about 6 hours ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0022-NPP-NOV25-JSC-Cosmochem How to Apply All applications must be submitted in Zintellect Please visit the NASA
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in AI-modeling, Monte Carlo simulation, and coding. The successful candidate will work alongside a multidisciplinary team, leveraging artificial intelligence and computational methodologies to optimize
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(advanced level to understand nuances and underlined themes, code and categorize them; 2-3 years in graduate school) •Analyzing bibliometric data •Synthesizing findings and drafting manuscript (advanced: 2-3
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the frequently asked questions . The university is an equal opportunity employer, including veterans and disability. As required by Ohio Revised Code section 3345.0216, Ohio State will: educate students by means
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equal opportunity employer, including veterans and disability. As required by Ohio Revised Code section 3345.0216, Ohio State will: educate students by means of free, open and rigorous intellectual
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variety of experimental data, utilize different model structures/modeling techniques, are often closed source or coded in proprietary software packages with poor interoperability, and process experimental
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Date 09/02/2025 Requisition Number PRN42994B Job Title Post Doc Res Assoc Working Title Post Doc Res Assoc Job Grade A00 FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours per Week 40
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, the University's Faculty Code recognizes faculty efforts in research, teaching and/or service that address diversity and equal opportunity as important contributions to a faculty member's academic profile and