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Field
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satellite SAR, LiDAR and/or optical imagery to enable rapid, safe, and scalable assessments of damage. Candidate methods for temporal modelling and anomalies detection, which are likely to occur at affected
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coordination problems, conflict resolution, and cooperative/competitive behaviour among cyber-physical actors/agents while optimizing for their local and global objectives such as minimizing generation cost
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dynamic mobility network to better capture the complexities of disease spread. The project focuses on two core objectives: Adaptive surveillance: designing policies that actively allocate testing resources
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people to navigate and find objects and people. The work would be carried out in our exciting neuroprosthesis lab with an interdisciplinary team of post-doctoral staff and PhD students. We have a vibrant
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object gravitate?”, “How far can we push massive objects into the quantum regime?”, “How well can we measure gravity of microscopic systems?”. Such questions and their implications for the foundations
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(>160 species) characterized by extensive Müllerian mimicry and whole genome duplication. Objectives Identify venom gene repertoires via RNA-Seq and proteomics of dorsal/pectoral spines, axillary glands
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Hazard Maps, Global Wildfire Information System (GWIS) and Global Drought Observatory. The DR would co-develop the research objectives. Some ideas to discuss include (1) incorporating predictive modelling
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pathways, whilst their omission can introduce significant systematic biases in parameter estimation, detection pipelines, and tests of fundamental physics. In this PhD project, you will develop a
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vegetation productivity varies, how it responds to management, and evaluate NEOM’s regreening efforts. Objectives include: Objective 1: Enhance the Relative Productivity Index (RPI) framework by improving
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Ensuring Well-Being in the Age of Generative AI Large Language Models for Vulnerability Detection Defeating complex families of malware using evolutionary based adversarial learning. Towards incorporating