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Field
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Demonstrated expertise in small-molecule synthesis, optimization, and structure–activity relationship (SAR) studies Strong problem-solving skills and the ability to work independently within a collaborative
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nanoparticle catalyst, and optimization of enantioselective metal-catalyzed reactions. The role will focus on autocatalysis particularly related to amplification of enantiopurity. The candidate should also have
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across the following research areas: Predictive machine learning Robust and stochastic optimization Learning-enabled control and reinforcement learning Power system operations, planning, and electricity
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, and performing characterization and optimization. Key Responsibilities: Design and assemble a compact mid-infrared laser system capable of generating high-average-power and high-peak-power femtosecond
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laser structures for backreflection-resilient operation Develop and optimize silicon plasma dispersive devices for on-chip optical isolation Fabricate heterogeneous lithium tantalate photonic isolators
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; distributionally robust optimization; 2) Graph Neural Networks, Large Language Models (LLMs), and geometric deep learning; and 3) federated learning and privacy preserving computing. Basic Qualifications Candidates
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research. Key Responsibilities: Develop and run a Cu–Cu hybrid bonding flow for fine-pitch 3D integration. Optimize process windows (pressure/temperature/anneal/surface activation) to minimize contact
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optimization of connectors Fabricate connectors and conduct lab tests Publish several papers in top journals. Write proposals for further development. Mentor students Job Requirements: PhD degree in civil
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Responsibilities: Develop and optimize synthetic routes for redox-active and conductive MOFs. Investigate the electrochemical performance of these materials under diverse conditions and in various energy storage
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://research.nottingham.edu.cn/en/persons/jie-yu About the Project. This research project aims to explore innovative strategies for green supply chain management and carbon footprint optimization in the context of dual carbon