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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our
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development, and AI applications. The ideal candidate should have a strong publication record, excellent communication skills, and hands-on experience with pilot-scale processing systems and physics-based
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students. More information about the Larsson group can be found at https://larsson-research.de/ . Some relevant publications are: Wahyutama, Larsson, J. Chem. Theory Comput., 2024, https://doi.org/10.1021
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, aid in developing the PI’s grant applications, and will be expected to apply for personal grant funding. As part of their career development to transition to the next phase of their career
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Postdoctoral Research Associate, Chemical & Environmental Engineering Posting Number req24856 Department Chemical & Environmental Engr Department Website Link https://chee.engineering.arizona.edu/ Location Main
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translating our passion for chemistry to young scholars at all levels in many scientific fields. To learn more, please visit our website: http://www.chem.tamu.edu/ We are a prestigious university with strong
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the spatial reasoning capabilities of multi-mode large language models and hybrid AI systems combining artificial neural networks with symbolic AI. In-house research and development of one of these systems
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discovery from large scale amplicon sequencing data, development of qPCR primers for specific predator, pathogen, or other organismal groups, and large-scale microcosm experiments for predation of pathogens
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research with a strong emphasis on digital health, particularly the innovative application of wearable sensor data analysis and mobile health (mHealth) application development. The goal of this research is
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will perform research with a strong emphasis on digital health, particularly the innovative application of wearable sensor data analysis and mobile health (mHealth) application development. The goal