409 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at University of Texas at Austin
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requests. Assist with new faculty computer set-up, instructional supply purchases (books, etc.), general guidance/direction regarding UT. Assist Department Manager with coordination and movement
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tools. Other related functions, as required. Required Qualifications Bachelor's degree in Mechanical or Ocean Engineering. Demonstrated proficiency with Computer Aided Design (CAD) software (e.g., Creo
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. Keep track of annual downloads from the state agency websites. Provide all necessary/requested documentation for the yearly audit. Track ERC assets, including WORQ Space reports, computer equipment
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. Support the installation and testing of equipment in field locations. Other related functions, as assigned. Required Qualifications Bachelor's degree in engineering, computer or information
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skills in MS Office, Adobe Acrobat and use of internet for purchasing and related functions. Ability to work independently with sensitive and confidential information, maintain a professional demeanor
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functions as assigned. Required Qualifications Bachelor’s degree in Mechanical Engineering. Demonstrated ability in mechanical engineering. Exposure to interfacing with vendors and machine shops to procure
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and implementation thoroughly and clearly and document and address issues. Other related functions as assigned. Required Qualifications Bachelor’s degree in Computer Science, Computer Engineering or
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engineering documentation. Other related functions as assigned. Required Qualifications Bachelor's degree in electrical or mechanical engineering, computer engineering, computer science, or other related field
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, be well organized, detail oriented, take direction well from supervisor, and have excellent communication skills. Basic computer skills (MS Word, Excel, email) required. Class "C" Operator's Driver's
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energy storage, or mineral evaluation is desirable. Demonstrated expertise or familiarity in advanced data analytics and computational methods, including data driven modeling, machine learning, and/or