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criteria Candidates must have relevant professional or academic experience in Radio Access Networks, physical layer of communication systems, software defined radios, microcontroller-based systems, FPGA/SoC
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be required to submit employment verification documents on their first day of work. For a list of acceptable documentation, follow this link: https://www.indstate.edu/sites/default/files/media
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network-based AV Classroom control systems such as Crestron, Extron, or similar Video production tools, camera operation, lighting basics, and audio mixing Editing software such as Adobe Premiere, Audition
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technology-based systems for University staff, faculty and students; including support for computer operating systems, software, hardware and networking. May serve as a system owner, technical expert
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programs and computers including instrument tracking program, email, spreadsheets, and word processing software. Ability to apply policy and procedure when making decisions. Ability to identify, analyze and
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field preferred At least six (6) years in progressively responsible experience in systems, applications, databases, web, or network administration Experience with developing, operationalizing, and
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Enhancement of AI/ML with in-network computing & processing Adaptation & optimization of AI/ML software libraries for non-conventional hardware architectures Physics-informed ML surrogates for efficient
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implement a digital strategy for UC Merced facilities and activities that support the F3 mission and that connects F3 aligned research activities with data systems and software-enabled workflows supporting
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setups, including the development of software required to gather and analyse data (using e.g., .Net, Python, LabView); Experience in the operation of common clean room tools used in the nanofabrication
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time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records/compensation-tools.php CBC