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models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations and/or experimental
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acceleration approaches across different sensing and fault scenarios, thereby informing hardware and architecture trade-offs for future missions. (b) Designing and developing ML and AI algorithms to enhance FDIR
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About The University Swansea University is a research-led university that has been making a difference since 1920. The University community thrives on exploration and discovery and offers the right
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computational algorithms to enable regenerative cell therapies. Now, we are seeking a highly driven postdoctoral researcher to contribute to our ambitious mission. Division The Division of Biomolecular and
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construction machinery to improve efficiency, adaptability, and safety under varying operating conditions. The work will involve designing and prototyping intelligent control algorithms, developing runtime
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student and faculty innovation and entrepreneurship that make a difference in the world. Expectations An ideal candidate will: Have a prior track record of publications at standard ML or robotics venues Be
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Future-Proof Smart Logistics. It aims to contribute to the realisation of the PI concept by developing advanced machine learning-based decentralised decision-making algorithms. These algorithms will enable
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performance. Its role is pivotal in the overall performance and safety of the vehicle, underscoring the importance of our work in this field. Various algorithms, models, and signals control different components
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allocation policies and task division policies can be designed to flexibly allocate teachers with different profiles to learning activities? c) what sharing mechanisms can be designed to enable cooperation