105 big-data-and-machine-learning-phd "https:" Postdoctoral positions at Rutgers University
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, moderate standing, moderate walking, bending, travel to various sites/locations. Extensive reading required. Extensive computer work required. Periodic speaking/lecturing for prolonged periods. A Moderate
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, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any
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: Strong skills in developing biosignal processing algorithms and implementing machine learning models for data interpretation. Technical Oversight: Ability to monitor complex data collection processes and
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applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement
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qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement
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, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information
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(RBHS). The primary purpose 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
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in quantitative methods. Must have high proficiency in R and/or other computer programming languages. Applicants in All But Degree Status will be considered for interviews. Preferred Qualifications
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numerical modeling. Experience in modeling and evaluating the impacts of climate and climate change, large-scale data analysis and interpretation, and independent research is required. Certifications/Licenses
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. Hearing and speech 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