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, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted to complex 3D underground geometries. The research will be conducted in close
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Mobile Edge Computing (MEC) has emerged as a promising computing paradigm to support emerging high-performance applications by deploying resources at the network edge. However, most existing MEC
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frameworks linking molecular interactions to cellular and network-level behavior (e.g. protein-protein interaction, PPI, network analysis) Optimize simulation codes and workflows for leadership-class HPC
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: Advancing Explainability for Time Series AI Forecasting in Mobile Networks, IEEE INFOCOM 2024 [7] S. Alcala-Marin, A. Bazco-Nogueras, A. Banchs, M. Fiore, kaNSaaS: Combining Deep Learning and Optimization
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. This project is funded by the European Space Agency (ESA) and is and is fixed-term for 24 months. The project “TMNT – Threat Monitoring Networked Team” will develop multi-robot scouting approaches to explore and
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-time employment (currently 38.7 hours/ week.). Data-fusion approach for grid-code aware control and optimally allocated fast frequency regulation of Hybrid Power Plants for Marie Skłodowska-Curie Actions
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management, and unified communications) enabling connectivity, productivity, and security for UCLA. Infrastructure Services strives to optimize performance increasing storage, elevating the network, and
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/training. Experience 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
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the future of flight and aerospace education. With vibrant residential campuses in Daytona Beach, FL, and Prescott, AZ — and a Worldwide network spanning nearly 120 global locations — Embry-Riddle stands as
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Learning (ML), le Software-Defined Networking (SDN) et la Network Function Virtualization (NFV) afin d'améliorer la prise de décision dans des environnements dynamiques. Le ML permet de prédire les