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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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and coordinating with vendor support. Manage UC4/Automic job automation, including job creation, promotion, failure resolution, and access control. Develop and maintain shell scripts, python, and SQL
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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 grant writing, particularly K-series applications, or equivalent mechanisms. Proficiency in statistical programming languages (e.g., R, Python, Stata, SAS). Direct experience leading successful
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, or probabilistic reasoning. Proficiency in Python, C++, or MATLAB, with demonstrated ability to implement complex algorithms. Excellent written and oral communication skills. PREFERRED QUALIFICATIONS Experience with
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following areas: foundation models, multimodal learning, LLMs, AI agents, or trustworthy AI. Proficiency in Python and PyTorch Responsibilities Research Conduct independent and collaborative research in