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Field
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, emulations, physical testbeds, and commercial networks. Collect and analyze KPIs such as throughput, latency, and reliability, and fine-tune network parameters to meet diverse QoS requirements. Prototype and
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, administrative datasets, patient generated data and imaging to improve our understanding of childhood onset blinding disorders and associated multi-system disease. The research fellow will lead on electronic
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image analysis Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software and algorithm development, modeling machine
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and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology
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, analysis and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology
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on the littoral environment. Algorithm development includes photogrammetric measurements of wave parameters, image stabilization, and use of AI/ML models for image segmentation and classification. Algorithms will
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vivo imaging platforms. Key responsibilities To work within the Mansour and Roghanian labs, and with collaborators at Southampton and beyond. To design, conduct, and analyse in vitro and in vivo
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spanning immunology, and bioinformatics, with access to advanced flow cytometry, 10X Genomics, in vivo imaging platforms. Key responsibilities To work within the Mansour and Roghanian labs, and with
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an environment of interdisciplinary collaboration. Our areas of expertise include animal health, imaging and diagnostics, infectious disease, cancer, and orthopaedics. The department is highly interactive and
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modules, for the agent management tools and for the conversation generation process. 3) Prototype: Development of an initial prototype of the multi-agent system architecture, including the preliminary