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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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year round Details We invite applications for a PhD research project to study organellar protein-DNA interactions in human pathogens. The project will answer mechanistic questions about organellar genome
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Details We invite applications for a PhD research project to study organellar protein-DNA interactions in plants. The projects will answer mechanistic questions about organellar genome duplication with
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liaison with other departments/agencies, both internal and external. Models positive collaboration/interaction with colleagues, management team, and other UAMS departments. Periodic travel and evening work
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well as interdisciplinary courses in the Humanities. Successful applicants will be innovative teachers, skilled in leading interactive, seminar style classes, and engaging students from widely diverse backgrounds. Additional
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transition, integrating digital and interactive methodologies that enhance the transferability and applicability of the results. Close collaboration with the project team and international partners to ensure
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interactions is therefore needed. Understanding how introduced microorganisms interact with resident communities — whether through competition, cooperation, or niche differentiation — is key to designing robust
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intersection of biomaterials, immunology, and cancer biology to understand how extracellular matrix mechanics influence immune cell migration, cell-cell and cell-matrix interactions, and phenotypes in disease
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 19 days ago
internship, the student will calculate and evaluate the radiological impact of relativistic electrons accelerated by laser-plasma interaction, estimating doses and dose rates in typical laboratory scenarios
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) at the University of Southampton. The successful candidate will contribute to an interdisciplinary research programme developing computational models to understand molecular interactions relevant to antimicrobial