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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 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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contemporary statistical methods. For all applicants: Strong written and oral communication skills. Strong skills in project management and time management. Proficiency in R, python, C++, Java or bash as
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environments, and analytical tools used in data science and research, including Python, Java, Robot Operating System (ROS), R and RStudio, MATLAB, Amazon Web Services SageMaker, Microsoft Azure, Google
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Research and Management Science and/or disease modeling Knowledge in and practical experiences with programming (e.g., Python, Java, Julia, R, etc.) Knowledge in healthcare operations management
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genomics. Must be proficient in R, BASH, Python, Java, and/or Perl programming languages. Preferred Qualifications: Experience in publishing in peer‐reviewed scientific journals commensurate with career
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générés ou accentués par des effondrements de terrain, impactant plusieurs kilomètres de côtes proches sous-marins (Nice, 1979; Mer Ligure, 1887; Papouasie, 1998 ; Java, 2012; Polynésie 1979). L’enjeu est
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environment. Demonstrated experience in programming with languages commonly used in AI development (e.g., Python, R, Java, C++, JSON). Experience in designing, developing, and evaluating AI/Machine
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(e.g., R, Python, Perl, C++, Java) and knowledge of statistics and mathematics are required. Training experience in artificial intelligence (such as machine learning and deep learning), experience
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repositories, or bug benchmarks is an advantage. Experience with one or more of C, Java, and Python is an advantage. Proficiency in written and spoken English, with good communication skills. Ability to work
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/model documentation, or FAIR data practices. Programming experience in Python, R, Julia, Java, MATSim, GIS tools, or related software. Experience working across disciplines or with stakeholders in