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systems, optical and electronic measurement tools, data acquisition hardware, and standard laboratory equipment. Physical Demands and Work Environment Work is performed in a laboratory setting and may
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Science, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with
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, statistics, or computational neuroscience. Excellent written, verbal and computer skills. Excellent communication and interpersonal skills. Must be able to work independently and/or collaboratively. Excellent
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proficiency in MS-office applications required. Requires knowledge of Microsoft office and other computer related skills. Command of the English language must be at a skill level necessary to produce materials
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capabilities necessary to communicate with other researchers and staff in person, on the telephone and by e-mail. Vision capable of viewing gauges, computer monitors, charts, forms, text and numbers
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email or mail applications. Interested candidates should submit their application online at: https://jobs.rutgers.edu/postings/270595. Review of applications will begin on April 1, 2026, and the search
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personnel in the laboratory. • Present research at local and/or international conferences. • Keep detailed records of research activity using an electronic laboratory notebook. • Contribute to general
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meeting software (Zoom, Teams, WebEx, etc), phone, and email. Work Environment: Must pass employee health clearance, TB Test and required safety training. Clinical/office environment with moderate amount
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capable of viewing gauges, computer monitors,charts, forms, text and numbers for prolonged periods. Must be available to work flexible hours, including overtime onshort notice and possible weekends and
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this position. WORK ENVIRONMENT: The candidate will work primarily in Newark, NJ and/or New Brunswick, NJ with some remote flexibility. Candidate will have access to a standard computer, phone, and internet