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tools to tackle the voltage security problem in transmission networks with a large presence of renewable generation by optimally employing non-costly control actions like (i) displacement of available
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University of California San Francisco | San Francisco, California | United States | about 22 hours ago
bargaining agreement. The salary range for this position is $84.78 - $109.85 (Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https
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, and mechanical characterization, analysis of damage mechanisms, and optimization of post-process heat treatments. In the field of functional materials, the candidate will contribute to the design of new
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to collaborate closely with computational designers to optimize and characterize novel enzymes. Where to apply Website https://apps.udg.edu/contractacioPDI/account/login.aspx?id=recerca&tipus=recerc… Requirements
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. Where to apply Website http://www.unifi.it Requirements Additional Information Eligibility criteria computer engineering or computer science master degree Eligible destination country/ies for fellows
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language models and reinforcement learning for real-time optimization, fault self-recovery, and production scheduling in industrial processes. Publish research results in top-tier international conferences
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, tested, analysed, disassembled, components washed, and remanufactured. The established process is optimized considering the chemical process solutions during electrode washing. Finally, the process is
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Optimal Transport for Optimization and Machine Learning Appl Deadline: 2026/02/04 11:59PM (posted 2025/12/19, listed until 2026/02/04) Position Description: Apply Position Description Doctoral student in
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PhD at TU/e within the ICT Lab in the Signal Processing Systems group. Where to apply Website https://www.academictransfer.com/en/jobs/357819/phd-in-network-architectures-an… Requirements Specific
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-to-X systems using high-temperature electrolysis (SOEC). The developed methods will serve to optimise the operation of SOCs for hydrogen production both technically and economically and improve tolerance