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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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, 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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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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or education Familiarity with Qualtrics and Inquisit for data collection Proficiency with data pipeline management, including cleaning and coding algorithms (e.g., Python) Familiarity with psychometric analyses
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, Physics, Neuroscience or related field. Research experience in computational neuroscience. Research experience in experimental neuroscience. Preferred qualifications: Fluency in the Python programming
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software development (mostly in R, or in Python/TensorFlow/Keras/PyTorch for deep learning), possibly theory development, simulation studies, real data analysis, and writing manuscripts. Starting Date
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effectively in both verbal and written communication ● Proficiency in coding models in the R/Python programming language ● Ability to work independently as well as a member of a research team