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Field
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mass spectrometry (especially GC-MS) and programming (e.g. R), statistical knowledge for omic-scale research questions Scientific publishing experience in renowned, subject-relevant peer-reviewed
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or Perl, along with experience using shell environments (e.g., Bash) and statistical programming in R, is required. Entirely remote work arrangements (including for applicants residing outside of Arkansas
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innovative peer-reviewed research publications Mentor Postdocs through the grant development process, including applications for F, K, or R-series awards and other career development mechanism Required
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analysis using data software is required (e.g., SAS, STATA, R, etc.). Qualifications: Doctorate degree in Epidemiology (or related field) from an accredited university by the start date required. Knowledge
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simulations and data analysis, detector and electronics R&D, and experiment-related operations, including: Participating in data collection including shift-taking at PSI Participating in detector and experiment
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digital twins, and in transferring research outputs to society. How will you contribute? · Contribute to research and innovation (R&I) projects (both methodological and applied) in the field of LCA, in
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. The postdoctoral researcher will play a critical role in particle physics detector R&D projects being conducted on campus at Syracuse University in the newly renovated Noble Liquid Laboratory in the Department
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analysis of large datasets using R and/or STATA Strong Biomedical Science and quantitative background Demonstrated abstract concepts in an accessible way to all organizational levels Good communication and
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commonly used scientific scripting languages (e.g., Python, SQL, or R). We also seek candidates with good communication skills in spoken and written English, and an ability to produce state-of-the art
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demonstrable experience with R and/or with other types of programming (e.g. Python or Matlab). You are a creative and critical researcher and are motivated to pursue an academic career. You are able