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Field
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aims to improve electrodialysis (ED) for REE separation by developing advanced membranes and integrating AI-driven optimization techniques. By combining materials innovation with machine learning
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(or an equivalent degree) in Civil Engineering, Built Environment, Material Science or related fields. • Experience in research for structural optimization is desirable. • Strong computational analysis skills
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mathematical modeling framework to find the optimal operation strategy for public transport services with autonomous vehicles Conduct computer programming to verify the efficiency of the designed solution
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systems. The role involves developing scalable binary analysis frameworks, AI-driven program understanding techniques, and automated security testing pipelines for embedded MCU and SOC platforms
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analysis, PDE-constrained optimization and optimal control, numerical analysis and scientific computing risk-averse and fractional models, digital twins and data-assimilating models, machine learning and
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- and the people who discover them The Opportunity Monash University is seeking a Research Fellow to join the OPTIMAL Centre of Research Excellence, a five-year NHMRC funded program led by the Transfusion
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. The Blockchain Specialist will lead the design, implementation, and optimization of the platform’s blockchain infrastructure. This includes developing smart contracts, integrating Hyperledger Fabric and Avalon
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 3 hours ago
therapeutics and generic drugs. These efforts cover more than just medicines. Research Project: Current dose optimization strategies for oncology therapeutics rely primarily on clinician-reported adverse events
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for understanding how AI-enabled control, optimization, and market design can support large-scale decarbonization, grid modernization, and the integration of distributed and flexible energy resources. Research topics
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the project directors and collaborators to develop data-driven and economically grounded frameworks for understanding how AI-enabled control, optimization, and market design can support large-scale