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information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary Rutgers Cancer Institute and Robert Wood Johnson Medical School seek applications for a
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to comprehend the unique business and operational constraints and needs and resolve those challenges, employing data analysis expertise to create solutions through the application of appropriate analytical
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computational analysis of ongoing research projects focusing on the function of transcription factor (TF) networks in mediating cell fate transitions at the early stages of oncogenic transformation as
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productions is required. SKILLS: Must have knowledge of general PC operations, industry standards and trends, modern connectivity methods and practices, system tuning and trend analysis, and distributing
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the direction of the Principal Investigator, the Postdoctoral Associate will be responsible for the design, analysis, interpretation, and presentation of experiments regarding the study of the disease mechanisms
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analysis and machine learning and experience in the analysis of diverse data types (clinical, genetic, imaging, digital, blood biomarker). Cultural and language competency and/or experience working with one
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complex social and relational contexts. We welcome applicants who approach their scholarship from a diverse range of empirical perspectives (e.g., quantitative analysis, qualitative analysis, conversation
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activities. Conducts community outreach and focus groups. Collects necessary data, checks data quality and tracks data. Performs data analysis under supervision. Assists in developing success stories
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research staff in data analysis and relevant research projects as assigned by the Principal Investigators. May assist with the coordination and evaluation of non-professional staff training. Conducts data
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including inform consent and participant recruitment. Spanish proficiency is required to conduct focus groups with stakeholders and perform qualitative data analysis in Spanish. Assist creating the project