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Field
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analysis, weather forecasting, physics, and engineering. Verifying that such programs are correct is challenging because of rounding errors due to floating-point arithmetic. Possible research directions
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laboratories at CY Cergy Paris University are contributing to this initiative through their work on quantum physics, quantum error-correcting codes, and quantum computing. The medium- and long-term goal
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-agent reinforcement learning (MARL) framework for cyber-physical networked fault-tolerant control of renewable energy-fed smart grids under adversarial conditions [6]-[9]. Multiple autonomous agents will
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solvers, finding better error correction protocols using combinatorial reasoning, processing quantum information using knowledge compilation approaches, and exploring the potential of satisfiability
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computing. This will include, but is not limited to, the design of distributed quantum algorithms, circuits, and error correction, as well as the interplay between circuit optimization and circuit
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built to identify and correct errors, apply bias adjustments, and assess data quality. State-of-the-art multisource blending methods will then be applied (e.g. kriging, probabilistic merging, machine
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factors: Preference will be given to candidates with: - Experience in fault injection systems - Experience in ML systems EVALUATION CRITERIA The selection will be based on the following criteria: Interview
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procedures for structural systems with the graduate student Consequence of Error/Judgement No applicable Supervision Received Prof. Tony T.Y. Yang (yang@civil.ubc.ca ) will provide high-level supervision
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located on the Huddinge campus of the Karolinska Institute. The overall aim of our research group is to understand cytotoxic lymphocyte biology, in order to explain and better treat severe inborn errors
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fault-tolerance. Due to the critical nature of many distributed systems, their correctness is of crucial importance. The verification of distributed systems, however, is notoriously difficult. This PhD