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orchestration components for data transition scenarios involving public and private networks 3 – Implementation of an integrated management system for optimizing data flows in the above-mentioned environments 4
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of fertilizers into the soil. The project aims to develop and optimize innovative porous carriers to enhance fertilizer efficiency, controlled release, and sustainability in agricultural applications
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perceptual tolerances. The work will comprise designing networking and computing architectures that integrate prediction and control algorithms, optimizing data transformations, offloading and distributed
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cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and
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to develop and deploy advanced AI-driven learning, prediction, and decision-making tools to transform millions of plug-in electric vehicles (EVs) into a vast, distributed network of mobile batteries
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developing optimized modules in C#/C++ within Unity and/or Unreal Engine Experience with database management systems For network engineer role: Experience in computer networking, multiplayer architecture, and
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partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML Enhancement of AI/ML with in-network computing & processing Adaptation & optimization
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lab is the analysis of bulk and single-cell transcriptomic datasets to dissect cellular heterogeneity, signaling pathways, and gene regulatory networks associated with muscle aging, sarcopenia, and
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distribution network optimization and flexibility planning using distributed energy resources. The successful candidate will develop and implement a flexibility planning tool for electrical distribution grids
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, and optimization to address challenges created by the operationalization of AI within partner organizations. The Postdoctoral Fellows will play a pivotal role within the LISH/Data and Science Operation