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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
Requirements REQUIRED: Ph.D. in computer science, mechanical engineering, applied math, or related field with significant research experience in machine-learning/AI algorithm development, specifically in deep
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learning algorithms and creating predictive models. This role will contribute to evidence-based processes and procedures for program quality review and assessment of outcomes data as well as develop
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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 | 15 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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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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, 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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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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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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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
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and communication systems. You will work with real measurement data and participate in both algorithm development and experimental validation. You will collaborate with industrial and academic partners