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Field
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assistance, and providing decision-makers with decision-support tools, data analytics, and policy solutions. What You Need To Know Compensation will be commensurate to the selected hire’s experience. A cover
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to field sites for data collection • Analytical method development in the lab • Assist with calibration and preventative maintenance of lab equipment and develop standard operating procedures for newly
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data analysis/spectral image processing. Use of data analytics or machine learning to guide process design and optimization. Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long
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. Candidates must be able to independently plan, multi-task and complete projects. Ideally, the fellow will be expected to design and execute experiments, analyze data, write and prepare independent grant
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research team members on data analysis, and disseminating findings through scientific publications and conference presentations. Ideal candidates will have strong experience in MD simulations, QM chemistry
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . JOB DESCRIPTION AND POSITION
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writing and will have access to training opportunities across the School of Public Health. Essential Functions Design and conduct data analyses Contribute to publishing scholarly papers and conference
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
Posting Information Posting Details Department Peds-Endocrinology - 412007 Posting Open Date 06/25/2025 Application Deadline Open Until Filled No Position Type Postdoctoral Scholar Position Title
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Presentation skills Analytical skills Attention to detail Responsibilities Research: Under general supervision, is responsible for conducting research into their field of expertise. Utilizes knowledge and skills
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) analyze model output from these ROMS simulations, as well as from Community Earth System Model (CESM) simulations and observational datasets; (iii) apply advanced analytical methods and theoretical