61 big-data-and-machine-learning-phd Postdoctoral positions at Rutgers University in postdoctoral
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate Job Category Staff & Executive - Research (Laboratory/Non-Laboratory) Department Nursing Science Overview
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, machine learning or quantum information; Proficiency in scientific programming; Excellent communication and scientific writing skills. Preferred Qualifications Equipment Utilized Physical Demands and Work
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computer data input and analysis. WORK ENVIRONMENT:Laboratory environment. Universal precautions are mandatory. Requires weekend, evening, and holiday hours when necessary. Special Conditions Posting Details
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are required. Ability to publish scientific research papers/articles. The ability to work both independently and collaboratively is also essential. Must be computer literate with proficiency and working
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate (Newark) Job Category Staff & Executive - Research (Laboratory/Non-Laboratory) Department CINJ - Cancer Health
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate Job Category Staff & Executive - Research (Laboratory/Non-Laboratory) Department RSDM - Oral Biology Overview
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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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identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including
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communication skills. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, Access, and PowerPoint. Preferred Qualifications Equipment
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insurance data and the application of social science theory and advanced statistical techniques in large data sets. The PETS Center builds on strong existing faculty and research infrastructure and enjoys