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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 22 days ago
clinicians, academics and health care leaders of the future who work in partnership with their patients and colleagues to provide optimal care for individuals while strengthening the system and society they
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modelling and optimization techniques, this research aims to identify optimum design and operational strategies that enhance system flexibility, improve resilience to variable supply and demand, and minimize
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 2 hours ago
analysis and system evaluation: Collect and analyze thermal, biological, environmental, and material-performance data; evaluate system performance and identify opportunities for optimization. • Research
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project is required to: Develop and implement advanced process and energy system models for integrated, low-carbon, and net-zero energy applications. Conduct research on energy systems integration and
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. Key Responsibilities: Conduct research in shipping network modelling and resilience analysis, maritime decarbonisation, data analysis, methodology development and applications Coordinate the preparation
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the area of optimization applied to the energy area - develop research capacity through the application of optimization methods - apply innovative techniques to problems related to smart energy networks. 3
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the area of optimization applied to the energy area - develop research capacity through the application of optimization methods - apply innovative techniques to problems related to smart energy networks. 3
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, state drift, read disturbs and non-linear multi-state programming. This PhD project aims to address these issues by fabricating and characterizing ReRAM cells optimized for balanced ternary (symbols -1, 0
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research. Key Responsibilities: Develop, implement, and optimize machine learning/deep learning models for digital pathology image analysis Analyze large-scale histopathology, omics, and clinical datasets
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 12 hours ago
regression, principal component analysis, and artificial neural networks — to determine optimal modeling frameworks for high-dimensional in vitro data generated by platforms such as organ-on-a-chip systems and