160 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Rutgers University
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, qPCR, and other equipment as needed. Physical Demands and Work Environment Physical Demands: Standing, sitting, walking, speaking and hearing. Must be able to work at a computer for an extended period
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Qualifications Minimum Education and Experience PhD degree in biomedical engineering, neuroscience, cognitive science or a closely related field. Experience in collecting and analyzing neurophysiological
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to work independently; • Experience working on research projects with a research team; and • Excellent verbal, writing and analytical, organizational and attention to detail skills, computer literacy and
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computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, Access, and PowerPoint. Preferred Qualifications Equipment Utilized Physical Demands
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Number 24FA0954 Posting Open Date Posting Close Date 01/07/2026 Qualifications Minimum Education and Experience Candidates shall have completed all requirements for a PhD in building sciences, engineering
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well as strong quantitative and programming skills. Experience with virtual reality development, machine learning, or advanced data analyses and modeling are highly desirable. Position Status Full Time Posting
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/articles. Minimum Education and Experience: Postdoctoral Associate candidate should have a new or recent PhD degree and strong background in molecular biology and cancer biology. Candidates must provide
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. The candidate should have a strong background in process modeling, control, optimization, applied machine learning, and AI. City: Cranbury State: NJ Location: Off Campus Create a Job Match for Similar Jobs About
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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 for prolonged periods. Must possess
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status, genetic information, protected veteran status, military status or any other category protected by law. As an institution, we value diversity of background and opinion, and prohibit discrimination