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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
processes from multiple emissions sources as represented in current models, and quantitative analysis of models and observational data using Python, Matlab, R, etc. Expertise required in developing new models
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languages such as Python, MATLAB, or C++, and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) preferred. Familiarity with medical imaging processing and reconstruction techniques
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. Proficiency in coding with MATLAB and/or Python. A track record of peer-reviewed scientific journal publications. Self-motivated, able to work independently, strong written and interpersonal communication
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, modeling, and data science (e.g., Python, R, MATLAB). • Experience with version control systems (e.g., Git) and the ability to create publication-ready visualizations. • Excellent writing skills for academic
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Proficient in platforms/tools/languages such as Python, Matlab, QGIS, Google Earth Engine, version-control, C++ processing large datasets Preferred Qualifications: Experience with transdisciplinary work in
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-on experience with Matlab/Simulink and Python. Applicants that are highly self-motivated individuals, who have demonstrated the ability to work independently are desirable Application Requirements Document
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proxy records, or closely related proxies Experience with, or interest in learning how to use, proxy system models Experience with, or interest in learning, scientific computing (e.g., R, Matlab, Python
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laboratory equipment for human neurophysiology and computer programming experience with Matlab is advantageous, but everyone is encouraged to apply. Knowledge, Skills and Attitudes: Skill in collecting
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. Familiarity with wildfire modeling, risk assessment, or disaster management. Strong programming skills in Python, Matlab, R, or other relevant languages. Experience working with large datasets and high
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Expertise in quantitative modeling, computational and/or Bayesian methods Expertise using at least one programming languages in the analysis of scientific data such as R, Python, Matlab, or Julia. Expertise