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collaboration provide an attractive environment for faculty from a variety of backgrounds. Please visit https://www.tamucc.edu/business/ for more information about the College and the University. Texas A&M
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Experience with unstructured grid ocean modeling system. Experience of using programming language Python to deal with large 3D ocean data. Ocean modeling under Linux environment; Python programming; SCHISM
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advanced research methods (e.g., econometrics, time-series/forecasting analysis) and analysis software (e.g. R, Python, SAS.) Familiarity with residential real estate, real estate development regulations
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Programming experience (e.g., R, Python) and interest in machine learning approaches Doctoral degree (PhD or equivalent) in Education, Psychology, or a closely related field by the start date Knowledge, Skills
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, delivery, evaluation and assessment of the engineering courses and student outcomes associated with those courses. The engineering courses include, but may not be limited to introductory engineering; python
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IT and three (3) years of project management/principal investigator. Proficiency in software development (System design, Git, NodeJS, Python, Docker, RESTful, Angular, TailwindCSS, PostgreSQL/PostGIS
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one or more of the following: Python, SAS, STATA, Matlab, or related statistical packages. Strong attention to detail and high ethical standards. Willingness to learn and acquire new skills as needed. A
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., R, Python, SAS, or STATA) Experience working with large population dataset (e.g. EHR, claims data) Background in health informatics, population health research, or biostatistics, computer science
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date). Strong background in power systems analysis (OPF, state estimation) and numerical optimization/control. Proficiency with Python/MATLAB and power-system toolchains (e.g., MATPOWER/OpenDSS
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: Research Percent Effort: 50% Working closely with the PIs, assist in locating data to complete a metadata following guidelines released and published by NOAA Assist the PI develop automated systems in Python