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cancer biology, molecular/cellular biology, genomics, or immunology with expertise in gene editing technology and NGS; flow cytometry and cell sorting; and bioinformatic and data integration, R/Python
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geospatial data processing and python programming. Candidates should also have knowledge of optical, lidar, and ground penetrating radar sensing systems and understanding of pavement structures and condition
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the programming of R/Python packages for the analysis as well as adapt existing and develop new research methodologies and training materials. You will report research findings in the form of conference
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, spectral interpretation, chemometric model development (preferably using R and/or Python). Ability to work with large spectral datasets, including developing and managing spectral libraries or databases, is
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alternatives to traditional chemical analyses, spectral data processing and multivariate analysis, spectral interpretation, chemometric model development (preferably using R and/or Python). Ability to work with
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, Python, and SAS or Stata) • Demonstrated expertise in causal inference and high-dimensional risk adjustment/predictive modeling, experience with Medicare claims data • Clear scientific writing and
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have a Ph.D. in economics, public policy, education, or a related field by the start date, strong quantitative and econometric skills, experience coding (in Stata, Python, R, and/or SAS), and an interest
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and mouse behavior. 4. Experience with programming in languages including Python, R, MATLAB is highly desired.
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, machine learning, statistics and programming skills (R and Python) is preferred. Record of peer-reviewed publications. Knowledge in one or more of the following areas is desirable: single-cell profiling
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. Strong programming skills (R, Python, C++ etc.). Excellent written and oral communication skills. Required Application Materials: Cover letter describing your interest in applying to the lab. Curriculum