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channel. This will be followed by designing a new resilient waveform for UOWC and developing a computer-based simulation to evaluate its performance. Finally, the study will use existing UOWC channel
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industry to translate innovation into practical solutions. Visit the AU website to learn more about the School of Computer and Information Technology . Our people Our people are guided by purpose, curiosity
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of Engineering, Design & Physical Sciences Department Department of Electronic & Electrical Engineering Full Time / Part Time Full Time Position Title: Research Assistant in the design of AI Large Language Model
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) Developing machine-learning based exoskeleton controllers to work across tasks 2) Designing and validating new robotic lower-limb prostheses 3) Exploring other high-risk high-reward research areas related
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/ computer vision and pattern recognition, including but not limited to biomedical applications Strong interest in applied machine learning, including but not limited to deep learning Experience utilising GPU
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detection, and uncertainty assessment Design and evaluate robust data pipelines for industrial monitoring systems Participate in project meetings, workshops, and collaboration activities within the GreenFab
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field in Electronic, Electrical and Computer Engineering The candidate should have at least 1 work published in prestigious journals and/or conferences, particularly Q1 journals and top-tier conference
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or military status. Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas—an exchange that is best when
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Director. · Work closely with the Xenotransplantation branch of the core facility to fulfill research needs of the users (maintain and expand current model/service portfolio based on user need). · Develop
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how