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About the Role Applications are sought for a Postdoctoral Research Associate to use multi-omic analyses of relevant in vitro skin models to explore how the cellular and molecular features
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following areas: A strong background in microbiology, including experience with bacterial and/or fungal culture, antibiotic susceptibility testing, rapid molecular detection of resistance genes or pathogens
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maintenance of neuroinflammatory processes and identify molecular targets that could serve as the basis for future therapies. To that end, we combine human studies with experimental (gnotobiotic) murine models
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to predict bacterial growth from protein sequence and compound molecular structure. Applying generative and predictive models to propose novel compounds optimized for broad-spectrum activity against diverse
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targets. The laboratory uses a rat model of methamphetamine use disorder and a variety of behavioral, molecular biology, and imaging methods in her research. The postdoctoral fellow will work in a
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
and other autoimmune diseases including lupus. The lab is positioned at the interface between immunology, molecular biology and utilizes new high throughput genome wide tools to visualize changes in
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10 Apr 2026 Job Information Organisation/Company Gustave Roussy / Inserm Department U981 / Molecular Predictors and New Targets in Oncology Research Field Medical sciences » Cancer research
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in vivo models to replicate disease. We are particularly interested in the effects of exercise on the development of bone lesions, and the potential role played by mechanosensitive osteocyte cells in
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About the Role Applications are sought for a Postdoctoral Research Associate to use multi-omic analyses of relevant in vitro skin models to explore how the cellular and molecular features
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Plant species distribution models (SDMs