720 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Texas at Austin in United States
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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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. Advanced proficiency with Computer Aided Design (CAD) software (e.g, Creo, Solidworks) and Finite Element Analysis (FEA) software packages (e.g., ANSYS, COMSOL) for the design and structural/modal analysis
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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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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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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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. Hands on experience with hand tools, power tools, machining (mill, lathe, laser cutter, etc.). Prior work experience in professional or research oriented development. Prior military experience
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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