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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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student assistants and contribute to shaping the CRC’s research direction Your Profile PhD in computer science, neuroscience, machine learning, or related field Strong programming skills in Python and
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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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. R, Stata, Python, or similar). Skilled in writing and/or contributing to high-quality manuscripts for submission to peer-reviewed journals. Demonstrated ability to independently manage research tasks
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
, Artificial Intelligence, Neural Networks, Computational Biology, Bioinformatics, Biomedical Informatics or a related field. Programming experience in a language such as Python or R. Experience in writing grant
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
preference for experience using tools like Kedro, Airflow, Snakemake, or similar. Understanding of semantic modeling and ontology use. (e.g., Biolink, RDF/OWL, OBO ontologies) Proficiency in Python and
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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
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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