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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
mechanism by NIOSH/CDC. Special Instructions For information on UNC Postdoctoral Benefits and Services click here Quick Link https://unc.peopleadmin.com/postings/311204 Posting Contact Information Department
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
mechanism by NIOSH/CDC. Special Instructions For information on UNC Postdoctoral Benefits and Services click here Quick Link https://unc.peopleadmin.com/postings/311204 Posting Contact Information Department
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
mechanism by NIOSH/CDC. Special Instructions For information on UNC Postdoctoral Benefits and Services click here Quick Link https://unc.peopleadmin.com/postings/311204 Posting Contact Information Department
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. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical imaging data, computer models
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salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines
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. Candidates should submit a cover letter, CV, research statement, teaching portfolio, and writing sample via Interfolio at https://apply.interfolio.com/175940 . We are seeking candidates who can demonstrate
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are not limited to collaborating with the professor on ongoing research projects, conducting literature reviews, and assisting in data collection and analysis. The Research Assistant will also contribute
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assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will
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have multi-year appointments. Candidates must have or (or expect to have) a doctoral degree in a related field. Interested applicants must apply online at https://www.princeton.edu/acad-positions
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Developing and applying modern causal and statistical learning approaches for complex, high-dimensional data (e.g., multi-omics, imaging, rich clinical covariates) to understand mechanisms linking exposures