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, and other analytics technology components, such as artificial intelligence, to support an analytics portfolio. Develops, deploys, and maintains data pipelines using tools such as Python and Airflow
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such as Python We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
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, atmospheric science, computer science, or a related quantitative field. Certification and Licensing: Prior experience working with atmospheric aerosol data and/or machine learning tools in Python or MATLAB is
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but in-person availability preferred. Courses will be taught in R (Quant. Methods-Data-Science-Stats and Data Visualization courses) and Python (GIS and AI courses). Apply only for one course and
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) Qualifications Knowledge of python or matlab Basic statistical knowledge, e.g., linear regression, Fourier analysis, statistical significance, etc. Before applying, please note that to work at McGill University
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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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Python. Experience in business intelligence tools including SSIS, SSRS and SSAS. Demonstrated experience performing data analysis, data relationships, data aggregation and data summarization in order to
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/Python).Further information can be found at:https://www.findaphd.com/phds/project/?p185925If you are interested in this opportunity and would like to know more about it, please contact me via email at
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·Familiarity with relevant computer software and research & teaching practices ·Sound knowledge of python, C, C++, Julia or related programming languages ·High quality publication record in Quantum
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of Grand Canyon University What You Will Bring: Preferred: Master's in Computer Science or Statistics or closely related degree AND experience in Big Data Analytics or Data Science with proficiency in Python