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Field
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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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across the spectrum of areas within Pure/Applied Mathematics and Statistics. It is currently organised into seven research groups: Algebra and Number Theory; Combinatorics; Complex Systems and Networks
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across the spectrum of areas within Pure/Applied Mathematics and Statistics. It is currently organised into seven research groups: Algebra and Number Theory; Combinatorics; Complex Systems and Networks
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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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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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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
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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