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Researcher in FPGA-based AI Hardware Acceleration who has: strong experience in FPGA design, machine learning or a related field in the case of the Postdoctoral Research Associate, a PhD (or near completion
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Acceleration who has: strong experience in FPGA design, machine learning or a related field in the case of the Postdoctoral Research Associate, a PhD (or near completion) in FPGA design, machine learning or a
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Research Associate to join our dynamic team and contribute to pioneering research in cancer and stem cell biology. In this role, you will design and conduct experiments aimed at developing next-generation
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international research partnerships. The Postdoctoral Research Associate will design and conduct high quality restorative and reconstructive dentistry research. The incumbent will be supporting Dr Chun Xu and
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-based algorithms (e.g., GNNs, deep reinforcement learning) design and simulate dynamic models of megaproject systems prepare and submit journal articles to high-impact publications contribute
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learning at scale. Research directions include designing algorithms and methods for adaptive and personalised feedback, modelling learning behaviours with sequence and deep learning methods, and generating
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) design and simulate dynamic models of megaproject systems prepare and submit journal articles to high-impact publications contribute to competitive grant proposals and research impact activities
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Diseases, School of Medical Sciences, Faculty of Medicine and Health. You will design in vitro and microfluidic-based model systems to evaluate vascular interactions related to medical device complications
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paleoenvironmental reconstruction reef geology and ecosystem response The overarching project design reflects the highly interconnected nature of the three aims, with the PDRA contributing across all themes
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: geochronology, sea-level reconstruction and ice-sheet dynamics geochemistry, paleoclimate and paleoenvironmental reconstruction reef geology and ecosystem response The overarching project design reflects