284 distributed-algorithms-"Meta"-"Meta"-"Meta" Postdoctoral positions in United States
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the possession and desire to distribute materials, reagents, software, copyrightable and potentially patentable discoveries derived from the Postdoctoral Appointee's research. Collegial conduct towards members
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imbalanced cross-sectional imaging data are especially well-suited for the position . The postdoctoral researchers will develop algorithms for deployment at our prestigious R Adams Cowley Shock Trauma Center
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production, consumption, and distribution shape synaptic transmission and short-term plasticity? Contribute to timely experimental execution, data collection, and rigorous data analysis. Report experimental
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infrastructure leveraging Aurora’s storage system, DAOS, a Distributed Asynchronous Object Storage system, to meet the needs of AI-driven applications. Another goal would be to evaluate vector databases and
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records. Engages in open and timely discussion with their mentor regarding possession or distribution of material, reagents, or records belonging to their laboratory and any proposed disclosure of findings
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., crowd sourced data or from mobile and distributed instrument networks) Assess the performance of next-generation predictive urban climate models using observations Develop new visualization strategies
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
, biomarkers distribution in blood or synovial fluid) as well as histological evaluation of multiple tissues (cartilage, bone, synovium, muscles), protein/gene expression analyses in isolated tissues (cartilage
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engineering or the department of oceans and carry out laboratory and field measurements to better understand the distribution, persistence, and sources of pathogens in the environment. This could include, but
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simulation models to analyze, predict, and optimize water distribution networks. Engage in state-of-the art research on lithium supply chain dynamics, forecasting potential bottle-necks, and proposing
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algorithms and scalable models for real-world evidence generation. The role will involve both method development and applied research, with opportunities to publish in leading journals, present at top