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development and application of novel algorithms and machine learning/AI techniques for extracting insights from biological data sets (genomics, proteomics, imaging, neuroscience), and related areas
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needs of the faculty, staff, researchers, and students of the school. The Machinist will produce complex research prototype machined parts and components by programming, setting up, and operating
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research prototype machined parts and components by programming, setting up, and operating computerized numerical control (CNC) Vertical Mills, Lathes, and traditional conventional metal and woodworking
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collaboration tools such as Zoom, Skype, GoToMeeting, Microsoft Teams. Diagnose, troubleshoot, and repair computing hardware and software. Troubleshoot desktop/laptop computer security issues. Provide support for
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professionalism and represent a positive image of the Center for Statistics and Machine Learning and its services at all times. This role requires a proactive, detail-oriented individual with excellent
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• Willingness to work as part of a team • Basic computer skills (MS Office, Google Docs/Sheets/Slides, etc.) Preferred Qualifications: • Highly Preferred: MATLAB/Python/Presentation programming experience related
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updated with the latest advancements to continuously improve processes. Qualifications Essential Qualifications: Bachelor's degree 5+ years experience in image data annotation or a related field. Good color
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experience in image data annotation or a related field. Good color vision required Ability to work at a computer workstation, performing detailed, repetitive tasks. Good visuospatial skills Exceptional
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skills in analyzing experimental data from optical diagnostics. An understanding of machine learning methods, AI and control with application to processing reactors is also desirable. In the near-term
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software and hardware, smart phones, and peripheral devices is a must for this position. The desire and ability to learn and utilize new technologies easily. Must be able to lift 50 lbs., twist bend and work