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, 41512056). This position will have the opportunity to gain strong training in cancer metabolism, cell growth signaling, and mouse models. The position is aiming at publishing high-profile papers and pursuing
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Informatics Overview New Jersey’s academic health center, Rutgers Biomedical and Health Sciences (RBHS) takes an integrated approach to educating students, providing clinical care, and conducting research, all
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scholars engaged in black feminist critical approaches to literary and cultural study. Scholarship and teaching intersecting with African American poetics, black ecologies, performance studies, sound studies
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postdoctoral fellowship positions on our newly funded NIAAA Institutional Research Training T32 program, Training in Research on Alcohol use and its Consequences and Etiology (TRACE). The goal of this program is
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appear in RBHS's Corporate Compliance Policy, Code of Conduct and Conflict of Interest Policy. Understands, demonstrates and models the Rutgers Cancer Institute core values. Performs other related duties
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T-cell Acute Lymphoblastic Leukemia (T-ALL) using mouse models, under the supervision of the Principal Investigator. In addition to these objectives, the Postdoctoral Associate also performs research
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of the Director of PopQuIS, Program faculty, and designated mentors, the Post Doctoral Associate conducts specialized research, literature review and integrates a primary care framework to improve population and
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of the Director of PopQuIS, Program faculty, and designated mentors, the Post Doctoral Associate conducts specialized research, literature review and integrates a primary care framework to improve population and
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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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in a program at an accredited college or university, studying computer science and/or a related discipline. Certifications/Licenses Required Knowledge, Skills, and Abilities Python LLM RAG Fine-tuning