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on geographic location (space) and invasion stage (time) and do not scale to the complexity of natural environments. This project will form part of an ambitious Future Leaders Fellowship to develop network trait
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decision agents based on graph neural network or similar will an advantage. Key Competencies Good knowledge in reliability analysis. Experience in FMECA and equipment health management will be advantageous
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/semiconductor security Evidence of a strong publication record commensurate with career stage and experience Good written and verbal communication skills and proven ability to communicate complex information
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for someone analytical, self-motivated, and able to manage complex datasets while meeting project timelines. A willingness to travel to coastal field sites and partner meetings across Northern Ireland and
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focuses on developing cutting-edge statistical/machine learning methods for fitting complex, multi-institutional network models to partially observed hospital infection data. This research will directly
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of applying geometric approaches and techniques to solve problems. Networking, actively engaging with and valuing other research areas. Published papers/preprints in relevant academic journals. Excellent oral
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the capacity to coordinate complex, distributed projects with clear communication and a supportive approach. Essential Skills: ● Demonstrable experience with single-cell RNA-seq analysis, including QC
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-hazard risk and recovery framework and open-source tools to quantify and manage combined earthquake and flood impacts on urban buildings, transport networks and community recovery. The Research Fellow will
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of applying geometric approaches and techniques to solve problems. Networking, actively engaging with and valuing other research areas. Published papers/preprints in relevant academic journals. Excellent oral
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focuses on developing cutting-edge statistical/machine learning methods for fitting complex, multi-institutional network models to partially observed hospital infection data. This research will directly