501 machine-learning-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Texas A&M University
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Electrical & Computer Engineering Location College Station, Texas Open Date 9/16/2025 Position ID 168712 Description The Department of Electrical and Computer Engineering, College of Engineering at
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Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences. Embracing
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., novice, advanced beginner, competent, proficient, expert): Ability to use various computer programs to include word processing, spreadsheet, and database applications. Ability to work with confidential
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/Casual Staff (Fixed Term) Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents
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information: The expected salary for this position is $24.03 - $26.44 an hour. Under general supervision, the Engineering Lab Technician prepares, operates, maintains, and repairs laboratories and machine shop
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languages such as R, Python, Matlab. Familiarity with software development best practices (e.g., unit testing, version control). Familiarity with inferential statistics and machine learning. Expertise in
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Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences. Embracing varying
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related military background is essential. Required Licenses and Certifications Must be able to obtain a TSA Transportation Workers Identification Credentials (TWIC). Must apply for and obtain a US Coast
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Job Type Staff Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived
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Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences. Embracing varying