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                About The Mount Ida Campus of UMass Amherst The Mount Ida Campus of UMass Amherst in Newton, Mass. serves as a center for student experiential learning and professional development and facilitates 
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                other advanced hardware and software topics in computer engineering. The successful candidate will be expected to establish a strong research program, teach existing courses in Computer Engineering, and 
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                with others. Experience with computer programs, such as word processing and spreadsheets. Ability to learn and use new programs (i.e. Card Access & Tririga), and to change systems programming as required 
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                computer proficiency and demonstrated competence in rapidly researching and learning new applications. Maintains a working knowledge and ability to apply the legal compliance guidelines of the Americans with 
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                About The Mount Ida Campus of UMass Amherst The Mount Ida Campus of UMass Amherst in Newton, Mass. serves as a center for student experiential learning and professional development and facilitates 
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                Apply now Job no:528708 Work type:Staff Full Time Location:UMass Amherst Department: Computer Science Union: PSU Categories:Academic Advising & Learning Resources, PSU A About UMass Amherst The 
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                expertise in applying cutting-edge techniques (e.g., molecular genomic, computational, AI/machine learning tools, and/or precision agriculture technologies) to address both basic mechanisms and practical 
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                events. Utilizes computers with various software such as MS Office, Excel, IMC, Fusion, and surveillance camera systems. Operates hand held, patrol vehicle mounted, and computer based audio and visual 
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                , developing and numerically solving diffusion reaction equations, parameter estimation, machine learning, and sensitivity analysis, with an emphasis in building open-source technologies that benefit the entire 
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                , communication disorders, ecology, epidemiology, environmental science, food science, kinesiology, machine learning, microbiology, sociology, uncertainty quantification, and veterinary and animal sciences