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develop AI-driven methods for optimising disease surveillance and intervention strategies in dynamic, real-world settings. We will design an active disease surveillance and control framework based on a
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to continuously learn, adapt, and refine world models in self-adaptive and autonomous systems. Specifically, the research will investigate how AI-based methods can support the evolution and updating of transition
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and spatial resolution, to make a leap in this field. The PhD research programme will squarely address these challenges. The PhD candidate should have completed (or about to complete
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separation from their social group during treatment and recovery). Collection management (such as species breeding programmes) may mean that individuals are moved between institutions and must integrate into a
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with the island syndrome(s) in arthropods? For further information on this project and details of how to apply to it please visit https://centa.ac.uk/studentship/2026-b22-the-island-syndrome-in
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such as reporting of results orally and in writing, time management, project planning and management will also be developed. References: (1) https://doi.org/10.1021/acs.chemrev.4c00120 . (2) https
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limit’, Eos, 99, https://doi.org/10.1029/2018EO092269 . Mainstone, C. et al. (2018) Developing a coherent framework for assessing priority freshwater habitats in England. Natural England JP016.
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Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101226544 Is the Job related to staff position within a Research Infrastructure? No Offer Description Evolutionary Medical
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—think about the technology as it exists today and the possible futures it may bring about. The ambition is to contribute to the development of robust, evidence-informed discussions about the future
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the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises: An stipend for 3.5 years (currently £20,780 p.a. for 2026/27) in line with UK Research