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manage multiple projects Preferred Qualifications: Prior virology research experience (e.g., pathogenesis, antiviral drug development, vaccine studies) Familiarity with animal models for viral infection
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Qualifications: Preferred Experience: Postdoctoral candidates who are eligible for T32 training support are strongly encouraged to apply. Familiarity with genetic mouse models, mouse handling and tissue dissection
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engineering-based research applicable to cardiovascular disease as part of an extramurally funded project. The successful applicant will create computational models from medical imaging data and run simulations
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. Familiarity with genetic mouse models, mouse handling, breeding and genotyping. Tissue culture experience. Counting and cryopreservation of mammalian cells. Experience in purifying proteins from tissue
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; pharmacokinetics/pharmacodynamics, preclinical model development. Preferred Schedule: Position Requirements: Minimum Qualifications: Minimum education: PhD in a scientific field or MD Minimum experience: 0-3 years
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development in large multi-site cohorts; and 3) developing advanced machine learning models of task-related brain function. The fellow will have the opportunity to contribute to these projects and will also be
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involving signaling between nociceptors and non-neuronal cells in models of bladder dysfunction, as well as work closely with mechanical, electrical, and biological engineers to develop tools to study and
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this, we apply a combination of cutting-edge genomic analyses and laboratory experiments to interrogate multi-ethnic patient samples, laboratory cell lines and animal models. Ongoing and future projects
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that surrounds them using both animal models and cell-based assays. Currently, the lab is focused on pancreatic cancer studies. The lab also investigates the cellular control of proliferation and is focused
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the harnessing and optimizing of T cell function for cancer immunotherapy using genetically modified mouse models, flow cytometry, q-PCR, RNA-seq, western blot, single cell RNA seq, bioinformatics, and