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the view of physics aiming for identifying principles behind complex systems. We collaborates closely with engineers, immunologists, and clinical microbiologists on campus. Within this project we will
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establish and validate microfluidic co-culture systems using human glomerular cells and benchmark these platforms against human kidney multi-omic and spatial datasets. These systems will be further developed
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at the Rowland Institute at Harvard (https://www.rowland.harvard.edu/). Our lab's primary focus is on bacterial-encoded domesticated viruses, known as gene transfer agents, that package random sections of the host
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alteration of the proteome and its organization on protein complexes to uncover the associated mechanisms of drug resistance. To meet our objectives, we have collaborated with colleagues from Canadian, USA
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Position Description: The Department of Microbiology & Immunology at the Medical College of Wisconsin is seeking a full-time postdoctoral fellow interested in tumor immunology and cancer
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
, and developing novel approaches that use AI and knowledge graphs to make novel predictions and answer complex user queries. The ideal candidate is enthusiastic about contributing to open-source tools
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conducting highly technical and complex research projects under the direction of Dr. Oldak. The scholar will also analyze research data, provide interpretations, contribute to the development of research
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experience working with large complex longitudinal datasets is required. (Experience conducting statistical analyses such as robust variance, binomial regression, generalized estimating equations, Cox
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Your Job: Urban aerosol particles pose one of the greatest global risks to human health. A substantial fraction of these particles is secondary – formed through atmospheric reactions of emitted
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for their expression in plant colonizing bacteria and integrating them into the chromosomes of appropriate chassis. Control systems will be designed to restrict expression to target plants and ensure optimal expression