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Immunology Posting Number R260043 Posting Link https://www.ubjobs.buffalo.edu/postings/61543 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
/Description: The Miao Lab in the Computational Medicine Program and Department of Pharmacology at the University of North Carolina – Chapel Hill (https://www.med.unc.edu/pharm/directory/yinglong-miao/) is
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-throughput sequencing technologies (e.g., Illumina, PacBio) and bioinformatics analysis. Solid understanding of microbial ecology, soil systems, and their interactions with plants and the environment
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well as their interaction of their ecosystems including the soil. The successful candidate will conduct field expeditions to collect plant and soil samples, characterize vegetation and their habitats as well as identifying
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focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning of continental surfaces and their interaction
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interested in understanding mechanisms driving innate immune responses during host-pathogen interactions, and how commensal microbes shape host immunity in health and disease. Our research combines
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, financial services, and information technology) and in the EU’s key external relationships (researching the related policies of the US, China, Russia, India and Brazil and their consequences for interactions
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. The successful candidate will be joining the Ultracold Quantum Gases group led by Prof. Dr. Leticia Tarruell. The interplay of interactions and gauge fields is responsible for some of the most intriguing phenomena
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for improvement. Scientific project management Planning experiments, analyzing results, writing reports and publications, and valorizing outcomes. Collaborative work: coordination and regular interaction with
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cold plasma-based postharvest technologies, significant scientific challenges remain in understanding how such approaches interact with fresh produce systems. Key open questions relate to the mechanisms