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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
of pathogenesis of the bacterium Clostridioides difficile, an obligate anaerobe and biosafety level 2 pathogen. This work involves genetic manipulation of bacterial genes for analysis of function and regulation
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medication use Applying frameworks such as the Andersen Behavioral Model (ABM) and 4Ms of Geriatrics Conducting advanced data analysis and predictive modeling Engaging patients, caregivers, and health system
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within the Medical College of Wisconsin (MCW) and be inspired by the work we can do together to improve health, and make a positive, daily impact in our communities. In the role of a Postdoctoral
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. The funding body is the Novo Nordisk Foundation. In parallel with research, you have the opportunity to take part in innovation activities with Copenhagen Microsystems , and this could be up to 20% of your time
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lab, assisting in the development and execution of research projects related to the production and characterization of multivalent DNA origami nanosensors. This role requires analysis of data collected
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, please review these frequently asked questions . Current Employees and Students: If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use
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management actions before they take place, supporting long-term planning. This position will support the lead CIs in the overall organisation of the project and its team, and will play a major role in
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, innate immunity RNA Bioinformatics & High-Throughput Methods (Hyeshik Chang): mRNA vaccine design, RNA sequencing, RNA modification analysis RNA–Protein Interactomics (Jong-Seo Kim): proteomics
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probing experiments Data analysis Publications in peer-reviewed journals and presentations at international conferences Supervision of trainees and students This is part of your profile: A PhD degree in
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function. Knowledge and/or experience in high dimensional and conventional flow cytometry. Mouse handling and tissue processing. Generation and analysis of bulk and/or single cell transcriptomic data