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PhD Position: Activating Heritage as a Mediator for Dialogue and Belonging in an Era of Polarization
materials as central components for engagement. These tools will be designed and tested through participatory and practice-based methods. Yet, depending on the candidate’s background and evolving project
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, this cohort of funded students will receive training in machine learning and AI methods at the University, together with training in the fundamentals of air traffic control at NATS, based at Whiteley
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agreement (preferably, 2025 Q2) Duration: Yearly contract for 3(+1) years, renewable based on performance and funding availability About the Position The successful candidate will contribute
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eukaryote Saccharomyces cerevisiae Rubaiya Rumman Doctor of Philosophy in Civil Engineering (PhD) Wood fly ash-based self-healing concrete using encapsulated chemical agents Nicole Bison Doctor of Philosophy
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, integrated assessment or agent-based models) and/or research on sustainability transitions and transformations will be highly regarded. Strong communication skills and the ability to work independently and as
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(a) networked multi-agent human-robotic systems that work collaboratively in a well-coordinated and safe manner, (b) computational design and digital manufacturing of components, (c) design of
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Learning from Human Feedback (RLHF) will enable AI to learn and adapt based on real-time user interactions. The dynamic creation and configuration of AI agents will allow users to customise and deploy agents
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into ionic conduction, gas permeation, and degradation in PVA-based membrane electrolytes. Investigate the impact of chemical and mechanical agents on the ionic conduction, gas permeation, and degradation
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coding systems and ontologies, ensuring compliance with FAIR principles. - AI model innovation: select, adapt, and refine large language models (local, cluster, or cloud-based) and frameworks (Ollama
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such as Prolific. Some knowledge of computational modelling and predictive analytics, such as cross-validation or evolutionary agent-based models. Residency requirements: This studentship is primarily aimed