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, innovative, and dynamic research projects. They will learn the routine lab techniques and build strong analytical skills. The work between the two labs is at the interface of biology and engineering, employing
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mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us
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become the bottleneck in achieving optimal performance and trustworthiness. This project will focus on how a federated multi-task learning framework can be effectively designed and optimised to address
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inclusive research environment with friendly atmosphere and cutting-edge research and education in multiple areas. About the research project In collaboration with manufacturers, a team of researchers in
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of multiple modes of buses, AMOD vehicles, private cars, cyclists, and pedestrians, and optimizes multicriteria involving passenger delays, traffic efficiency, environmental impact, and equity, among others
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conversion of CO₂ into renewable fuels. Central to this effort is the investigation of advanced catalytic systems that bring together multiple functionalities, including components responsive to plasma
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Aluminium through Machine Learning, High-Throughput Microanalysis, and Computational Mechanics” - a multidisciplinary research effort at the intersection of machine learning and materials science. This
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McInerney – CSIS Entry Requirements: Criteria: We are interested in multiple types of candidates for a funded PhD opportunity at the University of Limerick, Limerick, Ireland. Ideally, the candidate will
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model due to the mathematical challenge of solving the multiple partial differential equations simultaneously. With the support of the combined sponsorship from the university and industrial partner
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This PhD project focuses on strengthening network security for large-scale distributed AI training. As training increasingly spans multiple data centers connected over wide-area networks, it