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Field
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Power Electronics and Power Electronic Control, Reliability and System Optimization research groups. They are also in relation to AAU Energy's Mission on Digital Transformation and AI as well as Energy
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networks (5G and WiFi 7 and their evolutions) in terms of architecture, protocols, and optimization. These networks benefit from new technologies and approaches, such as virtualization and AI, to make them
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Advancing hydrogen aviation: optimize compressor design of the air supply system to boost fuel cell poweetrain efficiency and reliability. Job description To reduce greenhouse gas emissions in
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-Technology-Co-Optimization: STCO), AI-driven data analysis and process assessment, packaging-specific PDKs & ADKs, or inline testing & fault analysis (3D)? If so, you are in the right place! What you will do
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-optimization… Requirements Specific Requirements PhD in Electrical Engineering, Applied Physics, Operations Research, Computer Science, or a related discipline, with a focus on quantum algorithms. Knowledge
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projects that target NERSC HPC systems. Analyze and optimize quantum-related workflows, including classical simulation of quantum systems. Develop and apply advanced workflow capabilities such as on-system
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• Develop, consolidate, and optimize fMRI and EEG neurofeedback algorithms. • Design, integrate, and test standalone neurofeedback software (software suites for clinical environments). • Contribute
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: Contribute to one or more NESAP projects that target NERSC HPC systems. Analyze and optimize quantum-related workflows, including classical simulation of quantum systems. Develop and apply advanced workflow
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for 1.5 years, and will be embedded within the UMC Utrecht AI-Lab initiative. Your primary focus will be the development of AI models for defect detection and process optimization of tissue constructs
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Description This postdoctoral position is part of the CPER RITEMA project (Hauts-de-France Region). It contributes to the scientific axes of “energy efficiency and optimization of consumption in mobility and