772 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" positions at University of Texas at Austin in United States
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. For more details on the school and the department, please visit www.mccombs.utexas.edu and https://www.mccombs.utexas.edu/Departments/Management Qualifications A master’s degree in relevant fields is
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Basic computer skills for documentation and tracking Must be a U.S. person (U.S.Citizen or U.S. Lawful Permanent Resident) Relevant education and experience may be substituted as appropriate. Preferred
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includes but not limited to: 100% employer-paid basic medical coverage Retirement contributions Paid vacation and sick time Paid holidays Please visit UT Austin's Human Resources (HR) website at https
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Description The Department of Communication Studies periodically hires temporary non-tenure-track faculty to teach graduate or undergraduate courses in the area of specializations of Interpersonal
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at: https://slhs.utexas.edu/ Qualifications Applicants must have a Ph.D. in audiology, hearing science, or a related area at the time of appointment. Candidates must have a promising research program and a
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(b) and a Deferred Compensation program 457(b) Flexible spending account options for medical and childcare expenses Robust free training access through LinkedIn Learning plus professional conference
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century. With 11 undergraduate and 13 graduate programs, over 20 research centers and a faculty community that boasts one of the highest number of National Academy of Engineering members among U.S
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assistance Athletic ticket discounts Access to UT Austin's libraries and museums Free rides on all UT Shuttle and Capital Metro buses with staff ID card For more details, please see: https://hr.utexas.edu
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radiochemistry, computational chemistry, and/or nuclear materials science. Preferred Qualifications Depending on the project, experience with Python, machine learning techniques, and any of the following tools is
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semiconductor domains, including advanced packaging, with the aim of reestablishing U.S. prominence in semiconductor manufacturing. With over $1 billion in funding from the US DoD and the state of Texas, we’re