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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 25 days ago
advance knowledge within their fields. Postdocs are crucial members of our scientific research workforce, contributors to our research outputs and an important reason why Carolina is one of the leading
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | 2 months ago
of Christina Lopano. This project will be hosted by the NETL Pittsburgh, PA campus. This project presents an educational opportunity in additive manufacturing to facilitate the optimization and integration
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-interactions and (c) utilizing the gathered knowledge and the invented materials to address key technological challenges in Morocco and African continent and assist the transition toward a green and circular
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knowledge of PCR and primer or probe design. • Understanding of how to optimize an assay for sensitivity and specificity, including controls for inhibition and contamination. • Careful documentation and a
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Responsibilities: Postdoctoral research associate (PDRA) in electrochemistry and materials science Category: A Civil service grade: Researcher To transmit knowledge, understand the world, and meet the challenges
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; • Familiarity with statistical analyses and modeling as well as machine learning approaches, supported with strong skills in computational optimization of methods; • Experience working with large-scale datasets
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knowledge of and support for the proposed research plan. The letter should provide a statement of how the proposed project is complementary to your current graduate research and will enhance your thesis
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of energy materials Develop and optimize advanced X-ray optical concepts with emphasis on maximizing photon flux, transmission, stability, beam quality, and experimental flexibility Design next-generation
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research, creative activity and people positively impact the world. Like the city we call home, UB is distinguished by a culture of resilient optimism, resourceful thinking and pragmatic dreaming
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optimization of large language models (LLMs) and related architectures for generative tasks, continuous learning, indexing or retrieval, support of retrieval augmented generation over many data points from long