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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate Job Category Staff & Executive - Research (Laboratory/Non-Laboratory) Department RWJ - Neuroscience & Cell Biol
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Qualifications Strong background in receptor signaling (insulin/IGF‑1 axis preferred). Experience with in vivo mouse models and mammalian cell culture. Proficiency in data analysis using statistical software (e.g
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Postdoctoral Associate position is available at Rutgers Cancer Institute in Christian Hinrichs’s laboratory to conduct research on tumor immunology with a focus on the discovery and development of T cell therapy
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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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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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in conducting and analyzing scientific experiments involving rodent models and in basic molecular biology approaches. They should have a broad (college-level) knowledge of biochemistry, cell biology
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collaboration among employees. Rutgers–Camden is recognized as a national model for civically engaged urban universities and was selected by the Carnegie Foundation for the Advancement of Teaching for a Community
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Position Details Position Information Recruitment/Posting Title Postdoctoral Associate Job Category Staff & Executive - Healthcare Department NJMS - Cell Biology & Molecula Overview New Jersey’s
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Assistant will build and test analysis pipelines for Next Generation Sequencing data (including Single Cell Sequencing) from cancer patients (with special focus on prostate cancer) using Unix/Linux computing
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tissue- or cell-specific peptides. By combining intravenous administration of phage-displayed peptide libraries in human and model organism subjects and next-generation, high-throughput sequencing