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on AI tools and on the analysis and synthesis of peri-odic structures to identify the most suitable AI-based optimization techniques for the design phase. This will be followed by the prototyping and
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2178: Baseline Control Systems in the Intelligent Building Agents Laboratory. doi: https://doi.org/10.6028/NIST.TN.2178 . building control; intelligent agents; optimization; data analytics; machine
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-driven insights to ensure content aligns with brand objectives and user needs and improves AI results through content structure and optimization. This role works closely with cross-functional teams
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develop and optimize programmable RNA switches (eToeholds) for cell type-specific translation in cardiovascular target cells focussing on rational design, structural modeling, and data-driven optimization
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with 1000× increase in time resolution and 10× improvement in spatial resolution over prototypes. Such an instrument enables to measure the structure of heterogeneous systems including ageing concrete
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—these approaches can recover unmeasured near-wall structures, improve subgrid-scale modelling, and enhance predictive accuracy. Possible project directions include: 1. Reconstructing near-wall velocity fields from
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Hong Kong Branch of National Engineering Research Center for Steel Construction Director of Hong Kong Branch of National Engineering Research Center for Steel Construction (Ref. 251022019-IE) [on a
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environment, in order to optimize processes and improve their control. The recruited postdoctoral researcher will split their time between IEM (Montpellier) and the MSSA industrial site. Their missions will
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About the Opportunity Job Summary The Snowflake Developer is responsible for designing, developing, optimizing, and operationalizing Northeastern University’s Snowflake data platform. This role
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chemical biology and biotechnology, enabling the preparation of defined oligonucleotides for a wide range of research applications. This project focuses on the experimental development and optimization