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information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Genomic Instability and Cancer Genetics (GICG) Research Program at Rutgers Cancer
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working select weekend and evening hours. Maintains the confidential integrity of all client level information. Proactively reports any issues requiring action, intervention, or resolution to the Program
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, including machine learning (ML), and natural language processing (NLP). Must be computer literate with proficiency in Microsoft Word, Excel, Access, and PowerPoint. Effective oral and written communication
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, signal processing, machine learning, high-performance computing, computer vision, socially cognizant robotics, cyber-physical systems, nano/bio electronics, and cybersecurity and privacy. Faculty honors
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in partnership with Princeton University, and its clinical translation through our robust CAR-T therapy program with onsite GMP manufacturing and first-in-human clinical trials. The research program is
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Posting Close Date Qualifications Minimum Education and Experience • PhD – area of expertise or focus of program of research that links to our educational mission and vision; Certifications/Licenses
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organizational skills, demonstrated ability to work with on a team, strong attention to detail, and a sense of urgency. Good communication skills, computer literacy, and ability to manage multiple tasks in a
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learning on and off campus, including a growing emphasis on international experiences through short- and long-term study abroad. Students also have access to a robust program of applied research and outreach
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/Licenses Required Knowledge, Skills, and Abilities Effective oral and communication skills. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft
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, computer vision and machine learning algorithms. · Information dissemination and decision-support services · Policy related analysis and investigation · Previous interactions with transportation funding