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machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on expertise in programming languages such as Python, R, or MATLAB. Solid understanding of battery systems, electrochemical
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publication record in high impact conferences / journals. Very good programming skills (e.g., C, C++, Python), familiarity with Linux. Proficiency in English and ability to work in a team. Outstanding
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 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 16 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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MATLAB, Python, or R is required. Certifications/Licenses Required Knowledge, Skills, and Abilities Enthusiastic, curious, and having excellent communication skills, including writing skills as evidenced
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Knowledge, Skills, and Abilities The applicant must have strong programming skills in Python, and experience in at least one of the following areas: virtual reality development, machine learning, analyzing
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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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programming (e.g., Python, MATLAB). Preferred Qualifications: Experience in resilience analysis for multi-agent systems. Familiarity with communication-constrained algorithm design. Prior work on communication
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Biology, Bioinformatics, Computer Science, or a related field • Strong programming skills in R and/or Python • Experience with analysis of single-cell sequencing data • Familiarity with spatial
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include: Strong foundation in one of the following areas: Machine Learning / Information Retrieval / Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date