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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
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the use of MATLAB and python Manuscript preparation and ability to communicate research results clearly Knowledge, Skills, and Abilities Ability to multitask and work cooperatively with others
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presentations. Experience with analytical software such as R, Python, or others. Ability to travel in-state to perform speaking duties. Ability to multi-task and work cooperatively with others. Preferred
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-wave). Ability to perform advanced complex network analysis (preferably with experience on NetworkX). Ability to obtain advanced graphics (e.g. seaborn). Code in Python, C and BASH. Why Texas A&M
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Substantial published experience with PET imaging analysis. Experience with EEG data analysis or digital signal processing. Working knowledge of scientific computing languages, including Matlab, Python
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structuring of river systems. Familiarity with software and tools for simulating river network dynamics, such as R, Julia, Python, or GIS-based hydrological modeling platforms. Ability to integrate physical
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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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. Experience with web technologies, including JavaScript, HTML, CSS, and scripting languages such as Python, Ruby, or PHP. Familiarity with digital repository and asset management platforms (e.g., Hyrax