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of genome biology, bioinformatics and/or machine learning. Experience with python/R programing, machine learning theory and tools. Preferred Qualifications Publication record with minimum 2 years experiences
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approaches such as RNA-seq and ChIP-qPCR/seq. • Experience with fluorescence microscopy. • Proficiency in statistical analysis and/or coding (e.g., Python, R) for data analysis. • A willingness to learn and
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such as Python, MATLAB, C++ and/or FORTRAN. Ability to conduct independent research and collaborate effectively within an interdisciplinary research environment. Strong written and oral
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analysis Experience using R or Python Pay and Benefits Pay Range: $62,232 - $75,564; depending on education/qualifications/experience and following the NIH stipend level Please visit the Benefits
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from noisy, high-dimensional data. Strong programming skills (e.g., Python, R, C++) for handling large datasets and implementing models. A genuine curiosity about how science works and a desire to ask
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technical skills • Excellent spoken and written communications • Proficiency in MATLAB/Python and UNIX/Linux environments • Strong organizational skills Preferred: • Prior experience in vision research • fMRI
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one or more programming languages, preferably Matlab or Python, is considered an asset. Demonstrated ability to produce high-quality publications. A desire to help lead an integrative and motivated
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2026 is acceptable. Strong quantitative background with demonstrated proficiency in Matlab, or in another programming language, such as R or Python, with motivation to learn Matlab. Ability to work
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, genomic selection modeling, bioinformatics, proficiency in R, Python and/or Linux command line • Experience with DNA/RNA extraction and library preparation • Experience working with large-scale datasets
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of multimodal transportation networks, new mobility systems, travel behavior, and AI in transportation Proficiency in one or more programming languages, preferably Python Proficiency in database systems