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studies. Develop and apply advanced statistical methods and machine learning techniques using tools such as R and Python. Integrate and run process-based models (e.g., crop models, hydrologic models
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, such as R, Python, or Machine Learning, to identify patterns in biological factors, disease and mortality; co-supervising and mentoring PhD candidates, MSc and BSc students; collaborating with national and
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Radiation Transport techniques, and signal processing. Certificates/Credentials/Licenses Computer Skills Knowledge and experience of programming skills: (MATLAB, Python/C++) Monte Carlo simulations (ex
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publications in high impact journals, advanced proficiency in R and Python, and prior experience in cardiac imaging and high-dimensional data integration are essential. The postholder will be expected to work
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algorithms with mainstream programming languages such as Julia, Python, Java, C/C++, etc. Proficiency in writing scientific research articles and presenting results at academic conferences. Experience with
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publications in high impact journals, advanced proficiency in R and Python, and prior experience in cardiac imaging and high-dimensional data integration are essential. The postholder will be expected to work
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
discipline before start of position. Required Qualifications, Competencies, and Experience Must have ability to program fluently in at least one common scientific programming language such as Python, R
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strong programming skills, particularly in Python. Good interpersonal skills and the ability to work as part of a team are essential in order to make a strong contribution to the project. Benefits
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judged from published papers or publicly available (e.g., arXived) preprints, will be given priority. Strong programming skills in R/Python/MATLAB with some knowledge of C/C++ will be preferred. Prior
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in data analytics and statistical methods, particularly using tools such as R, Python, or other relevant software. Experience with Data Visualization & Programming: Expertise in data visualization