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The Institute for Data, Econometrics, Algorithms, and Learning (IDEAL). Northwestern, TTIC, and UIC. Position ID: Northwestern-The Institute for Data, Econometrics, Algorithms, and Learning (IDEAL
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21 Sep 2025 Job Information Organisation/Company University of Trento Research Field Computer science » Computer architecture Researcher Profile Recognised Researcher (R2) Country Italy Application
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. Fully homomorphic encryption (FHE) enables computations to be performed directly on encrypted data without knowledge of the deciphering key, offering significant potential for privacy-preserving deep
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Inria, the French national research institute for the digital sciences | Bron, Rhone Alpes | France | 17 days ago
Framework Programme? Not funded by a EU programme Reference Number 2025-09545 Is the Job related to staff position within a Research Infrastructure? No Offer Description Cophy is a project team between Inria
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, 2025. Preferred Qualifications: Experiences in electromagnetic transient analysis, grid-forming IBR modeling, quantum computing, power system stability, cybersecurity, real-time digital simulation, and
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magnets that is able to generate a strong magnetic field, while at the same time being easy to manufacture, and cost-efficient. We aim to achieve this by using a novel computational approach that should be
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-management algorithms for efficient and reliable long-duration operation. Implement hardware-in-the-loop (HIL) and real-time co-simulation for validation under realistic grid scenarios. Integrate battery
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of Oxford. The post is funded by United Kingdom Research and Innovation (UKRI) and is for 24 months. The researcher will develop 3D mapping and reconstruction algorithms with relevance to mobile robotics
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industrial conditions. Keywords: Artificial intelligence, autonomy, digital twin, edge computing, UAV systems. Objectives: Support the development of AI and machine learning algorithms for autonomous
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predictions. (2) Develop numerical algorithms and computing software, such as electrical/thermal transport-related codes, machine learning, high-throughput computing, etc. Materials should be sent to ttzhang