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Field
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Distributed, robust and adaptive model predictive control (MPC) School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr P Trodden Application Deadline: Applications
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record of interdisciplinary research, innovative pedagogy, and relevant teaching experience in music industry/business and intersecting technical areas such as algorithm development, artificial
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. The Department of Robotics focus is on rigorous, high-impact, original research emphasizing robot learning, (eg CoRL) and robot algorithms (eg WAFR) rather than development of new robot hardware. Research topics
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, generative design, building performance optimization, digital design methods (e.g., predictive modeling, multi-agent systems and algorithmic techniques for architectural design), digital design epistemologies
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, which will empower tomorrow's medicine? Dr. Piotr Slomka, PhD is looking for a Programmer/Analyst to join a diverse team! The Slomka Laboratory focuses on developing innovative methods for fully automated
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maintenance of machine learning algorithms, applications, analysis pipelines, and results reporting methodologies using R and SAS (including R functions and SAS macros for data management and analysis support
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for succession planning. The proposed PhD research aims to develop a framework that leverages AI-driven predictive analytics to assess employee skill capabilities, automatically identify skill gaps, and provide
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machine learning and medical image analysis algorithms. Working closely with the principal investigator and in collaboration with the research team, the Research Associate will coordinate and conduct all
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manner. Collaborative Innovation: Lead and participate in collaborative initiatives aimed at developing novel computational tools, algorithms, and models that address critical challenges in drug discovery
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of highly accomplished faculty, postdocs, graduate students, and undergraduates, all of whom push the boundaries of their respective fields. The Department supports a PhD program in Geophysical Sciences while