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Field
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and reinforcement learning for real-time optimization, fault self-recovery, and production scheduling in industrial processes. Publish research results in top-tier international conferences and journals
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fields to address challenges associated with environmental sustainability, innovative product development, and resource management.RESPONSIBILITIESLead the development and optimization of innovative food
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from estimation and optimization theory to hardware design. The specific topic of the project falls in the intersection of statistical signal processing and applied mathematics and is in particular
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to an ongoing project on the design and manufacturing of adaptive winglets using Shape Memory Alloys (SMAs) for aerospace applications. These smart winglets are designed to optimize aerodynamic performance by
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measurement and control platform for optimal island operation of Chalmers’ wind-battery system. Machine learning-based forecasting tools for renewable production using limited local measurement data
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maximal signal-to-noise and detection of picomolar levels of protein in the blood. The laboratory’s part of the project is to test and optimize this new strategy and subsequently use it to evaluate
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optimizing their functional behavior. The goal of this postdoctoral project is to carry out state-of-the-art experimental research on mechanical properties of HEA NPs with the intent of elucidating the link
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University Abu Dhabi invites applicants to apply for the open Post-doctoral Associate position to perform primarily research on Reinforcement Learning, and/or Optimal Control, and/or Model Predictive Control
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fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and results
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analyses • Lead genomic, metagenomic, and comparative genomic analyses using existing or newly-generated datasets • Develop and optimize laboratory protocols (if applicable) and help train and mentor new lab