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optoelectronic devices) while also connecting to application-driven areas of Electrical Engineering, such as Power and Cyber-Physical Systems, Machine Learning, and Intelligent Energy Systems. We particularly
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behavior of these components will be developed based on Finite Element Methods (FEM) complemented by Machine Learning models. Legislation and Regulations: Statute of Scientific Research Fellow, approved by
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Classification Title: PhD in Bioinformatics, Computational Biology, Biomedical Engineering, Data Science, or a related field. Classification Minimum Requirements: PhD in Bioinformatics
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Location: Atlanta, Georgia 30332, United States of America [map ] Subject Areas: AI/Machine Learning / Finance Data Science Modeling & Simulation Computational Biology Computational Science and Engineering
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. · Efficient algorithms for emulation of quantum computing and networking. · Developing and applying machine learning algorithms to optimize quantum computing and networking. · Quantum sensing
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. This posting is to fill an existing vacancy within the University. Qualifications Candidates must have a Bachelor’s degree and a PhD in Electrical and Computer Engineering or equivalent degrees completed
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of this PhD is to develop physics-informed neural operator frameworks that embed governing equations and invariants of fluid mechanics directly into learning architectures, enabling real-time, generalizable
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) and have a background in imaging, image analyses, machine learning, and software engineering. References: (1) A. J. Brooks et al, “Neutron interferometry detection of early crack formation caused by
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have expertise in applied optimization and optimal control, engineering computation, operational research, management science and applied statistics, FinTech, data science and machine learning
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Sciences, Civil and Environmental Engineering, Physical Geography, and Biological Sciences or a related subject. • Interest in research in freshwater ecosystems, including machine-learning and