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expertise spanning mooring lines, floating platforms and anchors, with both academic and industry perspectives. You will have many opportunities to expand your network, both in academia and industry, through
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of symmetries and equivariance and their implementation in deep neural networks, mathematical criteria stability and robustness of neural networks, applications of topology and geometry to deep
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opportunities to expand your network, both in academia and industry, through project meetings, workshops and conferences. You will contribute to the activities of the Intelligent and Resilient Ocean Engineering
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knowledge exchange, where you will contribute to sharing knowledge with our partners in the CRUK network and engaging in potential collaborations with industry. You will be expected to continuously engage in
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FAIR principles. This role also includes a focus on enterprise and knowledge exchange, where you will contribute to sharing knowledge with our partners in the CRUK network and engaging in potential
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intellectual leadership, establish novel approaches to pseudoviral and viral-like glycosylation studies, integrate glycomics with immunological outcomes, and share findings across the CAVD network. The role
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systems, with emphasis on criteria for robustness, reliability, and stability. Topics of interest include the study of symmetries and equivariance and their implementation in deep neural networks
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, and share findings across the CAVD network. The role includes experimental design, mentoring junior researchers, and extensive international collaboration to address key challenges in viral glycobiology
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Interest We welcome applications from all disciplines aligned with one of the strategic research priorities below: Clean Technologies: Net zero innovation, sustainable energy, circular economy Life Sciences
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considered on a pro-rata basis. You will have access to mentoring, career development and networking across the University and beyond. The successful candidate will work under the supervision of Dr Dawn-Marie