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nCounter(r). The postdoc would also collaborate with investigators performing microfluidics to characterize streptococci-platelet adhesion and the impact of streptococci on various platelet functions, and
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quantitative skills Proficiency with statistics and data analysis Familiarity with a programming language such as R Willingness to collaborate with other postdoctoral researchers, students, agency and university
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engineering. · Proficient in programming languages, including Python, R, Julia, etc. · Proficient in database management systems, i.e., MySQL or Microsoft SQL Server. · Proficient in traffic
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expertise in forest ecology, disturbance ecology, and landscape ecology, and methodological expertise in harmonizing distinct databases (e.g., forest inventory, remote sensing, land cover), GIS, and R-based
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not have exceeded two years previous work at the postdoctoral level at start of appointment. Coding experience in a scientific computing language is desirable (e.g., Python, MATLAB, R, IDL, Fortran, etc
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previous work at the postdoctoral level at start of appointment. Coding experience in a scientific computing language is desirable (e.g., Python, MATLAB, R, IDL, Fortran, etc.) The candidate should have an
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not have exceeded two years previous work at the postdoctoral level at start of appointment. Coding experience in a scientific computing language is desirable (e.g., Python, MATLAB, R, IDL, Fortran, etc
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maintains local and national data repositories. Generates routine reports, statistical summaries, and figures using SAS, R, or Python. Optional: contributes to wet lab tasks (e.g., tissue sectioning, IHC
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at least one statistical programming language, including R or Python. R is strongly preferred. • Excellent communication skills, both oral and written. • Ability to work both independently and in
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and computational methods using R or Python, while continuously enhancing technical proficiency through structured training. Develop, manage, and quality-check complex datasets from diverse sources