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using specific laboratory techniques that involve flow cytometry analysis, animal models of airway and brain disorders, single-cell RNA-seq, multiplex cytokine assays, and immunofluorescence imaging
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aligned with the aims of the Addiction & Decision Neuroscience Lab (ADN). Current work focuses on cognitive modeling of decision-making in both laboratory tasks and real-world settings, as well as machine
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independently. Among the key duties of this position are the following: Designs, discusses, and performs diverse experimental models and techniques related to the study of innate cells. Contributes to general
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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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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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candidate will work at the forefront of exoplanet research and will have the opportunities to extract scientific results from multiple JWST programs, develop and apply advanced atmospheric and surface models
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Experience: PhD in Neuroscience, Biological Sciences, Physiology, Biomedical Engineering, Psychology, or a relevant field required. City: Piscataway State: NJ Physical Demands and Work Environment: PHYSICAL
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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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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