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Equity Center of Excellence at the Rutgers Cancer Institute. Under the direction of the Assistant Director and Program Manager, the Research Scientist II for Surveillance and Catchment Data will conduct
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appropriately to the research program by generating independent research ideas in coordination with principal investigators and chair and demonstrating a high level of initiative and ability to work independently
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evaluation of budgets, organizations, administrative practices, computer applications, and the recommendation of improved methods in a large business, government agency or educational institution. Equivalent
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coordination of a Learning Management System (LMS) as NTI expands its digital learning infrastructure. Balances program execution with strong supervisory leadership to ensure instructional excellence and
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medical, sociodemographic and diagnostic information. Edits data, checks printouts, codes and prepares data for upload to main database. Performs basic functions on the computer in Microsoft programs
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Institute. Under the supervision of the Principal Investigator, the Student Assistant will perform supervised research in the area of cancer metabolism. The goal of the research program is to inspire
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expertise in one or more areas: computational social science methods; qualitative and field-based approaches; or policy analysis related to social media and democracy. Develops data pipelines and models
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completion of an approved training course or of a certified apprenticeship program in the craft, plus two years of experience performing repair and maintenance of refrigeration and air conditioning systems and
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advanced computational techniques. This is a nine month supports position as an Assistant Research Professor with opportunities for collaboration in research, education, and outreach across the department
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communications skills and be willing to work closely with both clinical and research faculty, and with research staff. It is expected that this individual keeps abreast of new technologies and computer methods