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seek a highly motivated individual with a background in neuroscience who can leverage techniques including advanced genomics, microphysiological cell culture system, and animal models. The team is highly
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. The Postdoctoral Associate will design and perform experiments to validate therapeutic targets, develop and test CAR T-cell strategies, and evaluate treatment effects in DMD mouse models. Key responsibilities will
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cancer, or related field Preferred Qualifications: Experience working with mammalian cell culture and animal models of cancer (xenografts and GEMMs) Familiarity with next-generation sequencing platforms
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the mechanisms of, and interventions for, immuno-senescence and aging in lung transplantation using high-throughput multi-‘omic approaches, primary cell culture systems, and animal models of transplantation. Ph.D
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biology, immunology, or other relevant areas of biomedical sciences. Experience in one or more of the following areas is desirable: 1) In vivo mouse models (willingness to work with animal models is a must
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induce more protective immune responses in the non-human primate (NHP) model by exploring innovative mRNA constructs for immunogen delivery that can elicit both protective and therapeutic B and T cell
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application to quantum theory and information science. Other application areas of interest include robust parameter estimation and performance bounds under model misspecification, integrated sensing and
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of the following tasks: 1) Laser-based instrumentation design, fiber coupling, and optical characterization. 2) Experimental investigation and computational model simulation of laser-induced bubble dynamics and
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/time management skills, and interest in interdisciplinary collaboration. • Experience in the use of large language models for analyzing text and/or advanced skills involved in analyzing complex
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, neuroinflammation, tau and α-synuclein pathobiology, digital pathology/AI image analysis, and mouse models of neurodegeneration. Education: A recent Ph.D. (less than 2 years of postdoctoral experience is strongly