35 development-"https:"-"https:"-"https:"-"https:"-"https:"-"IHE" Postdoctoral positions at Virginia Tech
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to explore opportunities for and develop a medium-term plan for using artificial intelligence tools to support research administration, strategy, and development. The candidate will work with stakeholders
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urban evolution using pest insect systems. Research will focus on understanding the genomic mechanisms underlying lineage establishment, persistence, adaptation, and extinction in highly inbred
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Job Description A Postdoctoral Associate position is available within the Ming Chen research group. The position will be focused on the development of asymmetric transformations catalyzed by
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and/or development of computational and methodological tools for network neuroscience. The candidate is expected to contribute to publications, collaborate with other lab members and external
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distribution systems. Current research initiatives include developing advanced vibration analysis methodologies for wooden packaging systems, predictive modeling for packaging performance, and optimization
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the whole scientist. The successful candidate will lead this project while growing toward research independence, supported by an individualized development plan, structured mentorship, and clear milestones
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, USA). The primary focus of the postdoctoral associate will be to integrate organoid development with single-cell omics methodologies. The postdoctoral associate will have opportunities to collaborate
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of positive-strand RNA virus and/or organoid culture systems such as iPSC-based organoids development. Pay Band Faculty Appointment Type Restricted Salary Information Commensurate with experience Review Date 10
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Job Description The Gregus/Buczynski Lab is seeking a motivated postdoctoral fellow to join an extramurally funded, highly collaborative research program focused on developing new, mechanistically
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designed to support the postdoctoral researcher’s professional development. Responsibilities and opportunities include: • Designing and evaluating physical AI deployments in campus and urban environments