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skills in R programming - Working knowledge of Python - Experience with basic analyses to characterize gut microbiomes, including diversity analysis, differential abundance analysis, modeling microbial and
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data, as in Mendelian randomization and TWAS. In addition to new methods development and evaluations, the job responsibilities include software development (mostly in R, or in Python/TensorFlow/Keras
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the first of its kind. EarthBank functionalities are continuing to expand beyond its current range of data types, which includes relational data models for major, minor and trace element geochemistry, U-Th-Pb
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, and Python to process vector and raster data for agronomic decision-making - Documented experience with producing educational communications and programming - Demonstrated ability to effectively
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(e.g., Mathematica, Matlab, Python, R), as evidenced in application materials. Demonstrated experience communicating clearly and effectively, as evidenced in application materials and peer-reviewed
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cell culture maintenance as evidenced in application materials. Experience with computational programming (Python, MATLAB). Project management experience. Contact Information to Applicants Carlo Barnaba
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longitudinal data management and analysis Experience with research on adolescents and/or families Familiarity with Qualtrics, REDCap, R, Python, and/or other data collection and analytic tools Preferred
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neurodevelopment disorders. The post-doc will also work on software development (in R, or in Python, Java, Stan, or BUGS or interfacing R with C/C++), simulation studies, real data analysis, and writing manuscripts
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and verbal communication skills in English • Proficiency in MATLAB and/or Python • Hands-on experience with rodent behavior and surgeries • Expertise in large-scale neurophysiology and histology
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with molecular/population/quantitative genetics, as evidenced by application materials and/or publications. Experience with bioinformatics (such as coding or scripting in R or Python) as evidenced by