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facility. Expertise in using manual and CNC equipment. Proficiency in using various fabrication equipment. Experience using CAD and familiarity with CAM software. Experience in designing components
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research enterprise and associated top-ranked technology transfer and startup activities, which span the university's academic colleges, research institutes and centers, and the Software Engineering
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optimization of AI software on PSC's production and experimental systems. Assist in the development of best practices for scalable AI, including elements of benchmarking and comparative evaluation involving
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optimization of AI software on PSC’s production and experimental systems. Assist in the development of best practices for scalable AI, including elements of benchmarking and comparative evaluation involving
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students. Key Responsibilities: · Meet twice weekly with the team, with greater involvement expected early and late in the semester. · Attend and support formal client and advisory board
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product reports. Documents results and processes. May test software prototypes. May interact with research subjects in order to perform job functions. Follows research plans in order to collect, record, and
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(visit days, orientation, grad student appreciation events, PhD Retreat, etc). Attend the SCS Commencement planning/coordination events and day‐of activities. Responsible for PhD student logistics
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machinery to include but not limited to domestic and industrial sewing machines, overlock machines, and industrial irons. Sophisticated knowledge of garment construction materials, finishing methods, and
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support the mission of the university through their work. Qualifications: PhD degree in Mechanical Engineering, Biomedical Engineering or a related field 1-3 years of experience Research and hands
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: B.A. or B.S. in Psychology or a related field Prior psychological research experience and knowledge of experimental methods in psychology Excellent organizational skills, strong attention to detail