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computer workstation for extended periods of time; and occasionally working at heights above four feet and/or in confined spaces. Also involves regular to occasional risk of injury from moving, lifting
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- Professional in F2F, virtual, and electronic communication - Proficient in Microsoft Word - Comfortable with computer-based tasks: Working in the user-end of an intermediately complex web-based software
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
machine learning to identify likely Jim Crow laws. The next phase of the project will expand this work to include the state of Texas and will endeavor to identify both Jim Crow and Juan Crow laws
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integration and AI models tailored for fish behaviour, health, and stress signal analysis. Investigate and apply novel machine learning and deep learning techniques for pattern recognition, classification, and
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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
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/compensation-and-benefits/index.html Department Description The UCSF Department of Radiology Imaging IT team architects, implements, and manages the computer systems and networks needed to support more
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Experience in machine-learning modeling for solid mechanics applications Experience in the development and coupling of numerical methods for solid mechanics modeling Experience in digital rock technology
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data dictionaries for discrete data. Write, Implement, and develop efficient code and machine learning tools and pipelines for data processing and analysis. Work with collaborators to implement emerging
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- Friday 7:30am - 3:30pm. Essential Functions: Answer and triage incoming IT Help Desk support phone calls, ServiceNow tickets, respond to Microsoft Teams chats, emails and provide computer technical support
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vision, IoT sensors, and blockchain to monitor food quality, safety and animal welfare in real-time and enhance transparency. AI and machine learning will analyse data from pilot sites to identify