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, this project will Investigate current DES(s) on “controlled” mixed battery chemistries; specifically NMC:LFP ratios. It will also develop an extraction process to optimally recover metals from NMC:LFP black mass
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with a new cutting-edge quantitative-trading company to push the frontiers of AI-aided decision-making in quantitative trading processes. As a PhD candidate you will: Design next-generation trading
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mechanisms involved in the leaching of copper concentrate by glycine solutions. • Optimize process parameters such as temperature, pH, glycine concentration, and particle size to maximize copper
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, in the Faculty of Business & Law at Curtin University, is seeking one (1) doctoral applicant (PhD) to join an Australian Research Council [ARC] Discovery Project, namely: Optimizing Benefits
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financial barriers to achieving theoretically optimal city sizes using qualitative methods, including stakeholder interviews and policy analysis. Integrating Theory into Dynamic Models Embed the sustainable
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finite element methods, which demand extensive data and are costly, PINNs embed governing physical laws directly into the learning process. This allows effective management of limited and noisy data
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in our selection processes. The successful candidate will be a member of the Industrial Transformation Training Centre (ITTC) for Optimal Ageing. The Centre is led by Monash University (Turner
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system (DDS). Based on the existing findings on BBB, develop and optimize DDS for itraconazole delivery. Potential DDS options are liposomes, polymeric nanoparticles, and inclusion complex formation. DDS
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-temperature performance. The PhD project will focus on the development, investigations and optimizations of new electrode and electrolyte materials. The project will expand the student’s skill set in scientific research
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investigate the optimal methods for combining multi-satellite InSAR with a network of Kurloo GNSS devices to provide robust 3D ground motion monitoring from space. The potential benefits may include