723 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Texas at Austin
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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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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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(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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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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technical mentorship and supervision of junior software engineers. Other related functions as assigned. Required Qualifications Master’s degree in Computer Science, Computer Engineering, Software Engineering
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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
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applications. Demonstrated strong leadership and organizational skills with strong initiative. Strong writing and presentation skills. Relevant education and experience may be substituted as appropriate
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deadlines to effectively manage multiple projects across different areas with accuracy. Ability to learn quickly and adapt flexibly. Experience in taking ownership of projects and guiding them to successful
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or more years of professional experience as a Electrical Engineer or Computer Scientist. Knowledge and experience with network architecture variations, link aggregation, ECMP, BGP, VLANS and DNS. Experience