22 machine-learning-"https:" "https:" Postdoctoral research jobs at Rutgers University
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work environment. Be able to prioritize and quickly learn new techniques and work independently, with careful attention to detail. Be accessible by email. Preferred Qualifications Familiarity with
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website: https://rwjms.rutgers.edu/research/inspire/home. Must take part in all of the research, writing and teaching training provided for INSPIRE IRACDA Fellows. Must take part in all of the research and
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voluntary tax-deferred savings options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http
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systems, from the physical fabrication of flexible printed circuit boards (FPCBs) to the implementation of machine learning algorithms for real-time signal analysis. The postdoc will collaborate in a
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options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits
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of the Postdoctoral Associate is to work on research project investigating the neural mechanisms of sensory perception, learning, and decision-making. The laboratory uses state-of-the-art behavioral, neurophysiological
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to effectively learn this technique will be needed. Effective oral and written communication skills. Must be computer literate with proficiency and working knowledge of database and reporting tools such as
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learn, work, and serve the public at Rutgers locations across New Jersey and around the world. Posting Summary Rutgers, The State University of New Jersey has opening for a Part Time Postdoctoral
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other computer skills. Preferred Qualifications Prior experience in at least one of the following areas is highly desirable: (a) strong understanding of metabolism, such as the roles of lipid oxidation in
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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