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-edge flexibility while incentivizing grid-edge device owners for the power system value of their flexibility and data. These methods will be supported by a novel computing architecture addressing domain
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-edge flexibility while incentivizing grid-edge device owners for the power system value of their flexibility and data. These methods will be supported by a novel computing architecture addressing domain
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will pursue a Ph.D. degree (Doctorate) in computer science or software engineering with a focus on differential privacy (DP) and other secure computing techniques while collaborating with the Ministry
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Application Deadline 17 Feb 2026 - 09:57 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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systems based on an analysis of their current architecture and operational data. Machine learning and neural network architectures, including convolutional, recurrent and transformer networks. MLOps and