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focuses on investigating how biomedical implant degradation products modulate host immune responses using advanced cellular and murine models. The overarching goal is to develop novel therapeutic strategies
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the mechanisms driving mitochondria to dysfunction and failure in neurodegeneration and aging, using cellular models. Successful candidates will participate in the initiation of the different research projects
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of the meiotic cell cycle. Our work involves genetic mouse models, combined with molecular, cellular, and biochemical analyses. A successful candidate will work closely with the principal investigator as
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geophysical monitoring, data integration, and the development of predictive models and visualization tools. Candidates should have a PhD in geophysics, hydrology, environmental engineering, or a related
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modeling, molecular simulations, bioinformatics, or wet-lab experimental design relevant to the lab’s focus preferred. Equipment Utilized Physical Demands and Work Environment PHYSICAL DEMANDS: Standing
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Corporate Compliance Policy, Code of Conduct and Conflict of Interest Policy. Understands, demonstrates and models the Rutgers Cancer Institute core values. Keep abreast of all pertinent federal, state and
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of various brain disorders using murine models and iPSC-derived human neurons. The Postdoctoral Associate will perform small animal surgeries, molecular, cellular and electrophysiological experiments. In
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research on characterizing non-coding regulatory elements in humans and understanding how these elements change across different conditions. The project will involve developing new modeling approaches
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both 2D and 3D models, for experimental studies. The ideal candidate will demonstrate a strong record of accomplishment in a relevant area of biomedical research, evidenced by first-author peer-reviewed
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contributions to the PI’s research program, including designing experiments and study materials; collecting, analyzing, and interpreting data; designing and implementing computational models; preparing scientific