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GC-MS and the postdoctoral associate will make the measurements, analyze the data, prepare manuscripts, and present the results at conferences. There will be opportunities for mentoring student
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of the experiment, from data analysis to detector operations and HL-LHC detector upgrades. The successful candidate is expected to engage actively in CMS measurements as well as the smart pixels program (https
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addition to this load, successful candidates are expected to conduct research in collaboration with CMU-Q faculty or local partners. We are particularly interested in candidates in the areas of Computer Systems
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or Departmental Website: https://med.stanford.edu/gruberlab.html (link is external) How to Submit Application Materials: Interested applicants should submit the required application materials by email to Aronne
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, methods to neural population dynamic data manuscript preparation presenting research at lab meetings and scientific conferences contributing to grant proposals mentoring students Lab: https
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Number req25560 Department Immunobiology Department Website Link https://immunobiology.arizona.edu/ Location Tucson Campus Address 1656 E. Mabel Street, Tucson, AZ 85721 USA Position Highlights The
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
-seq, etc) Special Physical/Mental Requirements Special Instructions For information on UNC Postdoctoral Benefits and Services click here Quick Link https://unc.peopleadmin.com/postings/314901 Posting
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Position overview Position title: Postdoctoral Scholar Employee Salary range: A reasonable salary range estimate for this position is $69,073 - $71,632. The posted UC academic salary scales (https
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Posting Summary Logo Posting Number RTF00048PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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unsupervised techniques, time-series modeling, and clustering algorithms. The candidate is expected to lead an effort to prepare generalized ML techniques for data quality monitoring for tasks across multiple