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Position Details Position Information Recruitment/Posting Title Coadjutant Researcher Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory Department Quantitative Biomedicine Inst
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, relevant artificial intelligence (AI) approaches such as CNNs and transformers, and protein structure predictions. The Kaelber lab is located in the Institute for Quantitative Biomedicine, home to several
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systems. The position will focus on the integration of artificial intelligence (AI) and emerging technologies across the full lifecycle of structures—from design and construction to monitoring, maintenance
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discipline expertise and computational areas, such as data science, artificial intelligence (AI), machine learning (ML), generative AI and other technology innovations. Key details of this position include
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voluntary tax-deferred savings options Employee and dependent educational benefits (when applicable) Life insurance coverage Employee discount programs Posting Summary Rutgers Artificial Intelligence and Data
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and Experience PhD, MD, or equivalent doctoral degree in Neuroscience, Biomedical Engineering, Computer Science, or a related field. Candidates in ABD (all but degree) status will also be considered
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biomedical science. Consideration to interview will also be given to applicants who are in the process of completing their PhD or equivalent doctorate degree in Cancer Biology, Precision Cancer Medicine, or a
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Pension Eligibility ABP Qualifications Minimum Education and Experience PhD, MD, or equivalent doctoral degree in Neuroscience, Biomedical Engineering, Computer Science, or a related field. Candidates in
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Familiarity with cleaning and managing large datasets. Strong writing skills. Preferred Qualifications Statistical skills applying artificial intelligence and data science for societal benefit in predictive
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stipend and benefits and is located one hour from New York City. Questions should be directed to: Matthew McBride, PhD, Department of Chemical Biology, the Cancer Institute of New Jersey, Rutgers University