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Field
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training in field work techniques, ecological modelling and GIS will be provided by an interdisciplinary supervisor team. Funding duration – 4 years Funding Comment This scholarship covers the full cost
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powerful AI companies, in democratic security, and analysis of the development of new forms of agentic and adversarial AI that could undermine democracy. The candidate will be based in Lancaster University’s
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., health and climate/environmental data) and could include a range of data science methods, such as utilising geographical information systems (GIS), statistical analysis, machine learning, deep learning
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, disambiguate historical agents, and contribute to collaborative scholarly outputs. You will present your findings at conferences and help shape the project’s intellectual direction and future development. This
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Embark on a ground-breaking PhD project harnessing the power of Myopic Mean Field Games (MFG) and Multi-Agent Reinforced Learning (MARL) to delve into the dynamic world of evolving cyber-physical
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and/or Geographical Information Systems (GIS), and be keen to learn new methods. The University of Birmingham is providing full funding for this project for a UK student. International students should
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team, the PhD student will support the development of discrete choice experiments in two countries, and agent-based modelling, as we plan to model how doctors make job choices among alternative hospitals
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. Under the guidance of the supervisor, the candidate will conduct experimental tests on composite samples to evaluate properties like crack propagation speed, GI,C and GII,C (mode I and mode II fracture
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agents into the cells, polymers to stabilise the membranes and the precise control of ice growth. We will use conventional as well as high-throughput technologies, including our in-house platforms
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of the industrial giants from the defense sector (BAE Systems) The work is envisioned to have great impact on design and development of intelligent autonomous agents. Fully funded Ph.D. covering not only tuition