404 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Texas at Austin
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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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, including survival analysis, time-series techniques, causal inference approaches, and/or machine learning methods to large healthcare datasets. Prior experience mentoring or supervising graduate students
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and email notifications relevant to ARL UT security status. Answer incoming telephone calls. Effectively operate computer systems, utilize email, monitor closed circuit video monitoring equipment
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logistics in collaboration with instructors and CNS Experiential Learning. Assists with Marine Science Club. Work with MSI IT to keep distance classroom connected and running properly Assist with script and
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abilities to navigate patient inquiries efficiently. Multi-tasking and organizational skills to manage high call volumes effectively. Basic computer proficiency, including data entry and navigating multiple
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(b) Flexible spending account options for medical and childcare expenses Robust free training access through LinkedIn Learning plus professional conference opportunities Tuition assistance Expansive
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of the system Other related functions as assigned Required Qualifications Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering or other related discipline. Demonstrated experience
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mobile app data collection tool, developing machine learning algorithms to sense psychological states in daily life, and sending iterative micro-experimental mental health interventions via smartphones and
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Engineering, Electrical Engineering or related field. Strong analytical and problem-solving capability. Demonstrated ability programming in the C++ programming language. Thorough understanding of object
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degree in Computer Science, Computer Engineering, Electrical Engineering or other related discipline. At least three years of professional experience developing or testing software in a Linux environment