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PhD: 3-4 years full-time; 6-8 years part-time; Thesis of Max 80,000 words Apply now Research projects Research projects Self-funded projects Indicative Data Science: Extracting 3D Models of Cities
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supporting data collection activities in community-based travel and health related studies using varied data collection tools. Tasks include taking informed consent, distributing, and verifying self-complete
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awards across the University. We are investing in our organisation, and we will invest in you too. Please visit our website https://www.gla.ac.uk/explore/jobs/ for more information. Closing date 8 January
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data suggests slag-based anthropogenic coasts can undergo rapid changes in their physical and chemical properties, eg deposition of slag converting a soft coast to a hard rocky coast. Reworking
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Our aim is to advance world-leading research and teaching that promotes health equity, addresses emerging health threats, and harnesses data-driven innovation to improve local and global population
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data with complementary datasets already collected, such as grain size and magnetic susceptibility. Through statistical investigation, the student willestablish robust connections between different
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with this level of post having acquired the necessary knowledge and skills in a similar role elsewhere. C2 Excellent time management skills. C3 Ability to work well under pressure. C4 Basic computer
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defining environmental policies such as setting biodiversity targets. This project will aim to construct spatial models of biodiversity, explicitly accounting for the temporal structure of the data
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RAN and backhaul Self Organisation of Cellular Networks Use of Artificial Intelligence and Big Data Analysis for Self Organisation Use cases of 5G technology (example areas include): Smart Transport
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pressure. C2 Basic computer skills and experience. C3 Excellent communication and interpersonal skills. C4 Strong organisational and customer service skills. C5 Team player who is committed and enthusiastic