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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 13 days ago
, Java and/or R. Preferred Qualifications, Competencies, and Experience * Experience with neuroimaging/bioinformatics studies. * Experience with developing ML models, with a preference on AI
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of conduct and a statement from the Lab Director’s office can be found here: https://www.ornl.gov/content/research-integrity Deliver ORNL’s mission by aligning behaviors, priorities, and
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Strong proficiency in Python and modern ML/AI development workflows. Experience with C++ and/or Java for performance-critical components is a plus. Demonstrated experience designing, implementing, and
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Lab, led by Dr. Amy Willis, is one of the most respected international groups developing methods for the analysis of microbiome data ( https://statdivlab.github.io/ ). The StatDivLab develops cutting
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Salary range: The UC academic salary scales set the minimum pay at appointment. See the following table for the current salary https://www.ucop.edu/academic-personnel-programs/_files/2025-26
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holidays, vacation, sick and personal time; and educational benefits. Please visit the Human Resources Benefits site ( https://www.une.edu/hr/benefits ) for additional information regarding UNE’s
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holidays, vacation, sick and personal time; and educational benefits. Please visit the Human Resources Benefits site ( https://www.une.edu/hr/benefits ) for additional information regarding UNE’s
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holidays, vacation, sick and personal time; and educational benefits. Please visit the Human Resources Benefits site ( https://www.une.edu/hr/benefits ) for additional information regarding UNE’s
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-oriented languages (such as Coldfusion, Java, SQL ), web programming tools and version control software. Knowledge of relational database design concepts, data models and SQL scripting. Understanding of
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with modern ML/AI development workflows. Exposure to C++ and/or Java for performance‑critical components is a plus Experience contributing to the design, implementation, testing, or evaluation of ML/AI