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Field
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Technical skills (e.g., Python, NLP toolkits) are a plus but not required if the candidate brings qualitative or conceptual expertise A combination of education and meaningful experience from which comparable
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
: Python, Perl, R, Java, C. Candidates must be familiar with the functional genomics experiments indicated above and have experience analyzing data from these experiments using robust computational
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, computer science, or applied mathematics, and superb computer programming skills. Recommended skills include an advanced command of Python and a language in the C family. Ability and a strong desire to work in a
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neurological disease models. Familiarity with neuroscience techniques and CNS biology. Experience with advanced microscopy and imaging techniques. Programming skills in R, Python, or MATLAB. Prior experience
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in R or Python. Experience in applied economic analysis, with preference given to those with experience developing and using structural economic models. Experience with U.S. commodity price analysis
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production with an associated photon. • Technical skills in the use of columnar analysis approaches with python. Desired Qualifications • Experience with C++ programming. • Experience in developing
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such as glaucoma, macular degeneration, and uveitis. Programming in Python and R languages with knowledge of Google Tensorflow, PyTorch, scikit-learn, and Keras or other related deep learning libraries
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Technical skills (e.g., Python, NLP toolkits) are a plus but not required if the candidate brings qualitative or conceptual expertise A combination of education and meaningful experience from which comparable
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' datasets - genomics transcriptomics, and proteomics Proficiency in R, Python, and other programming languages Expertise in Linux, Git, Docker, and other high-performance computing environments Excellent
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date. Proficiency in Python programming and working with large datasets. Demonstrated ability to conduct independent research and collaborate on interdisciplinary teams. Experience in environmental load