464 web-developer-"https:"-"https:"-"https:"-"Institut-Agro-Rennes-Angers" PhD positions in United Kingdom
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the deadline. The project is to contribute to a major Ministry of Defence (MOD) research programme intended to develop generation after next technologies for applications in defence and security, and this
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) project, which aims to develop the tools required for assessing the error-reasoning ability of AI systems and to thereby foster the careful and effective introduction of AI agents into the research process
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. Their performance, however, is strongly influenced by microtexture, crystallographic orientation clusters that develop in the material during processing. Controlling microtexture is critical for improving mechanical
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– Developing robotic systems embedded within architecture, encompassing swarm robotics, custom actuator design, modular robotics, safety-critical control, human–robot collaboration, and distributed manipulation
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-generation network architectures. The work will contribute to the development of secure, efficient, and scalable communication solutions for 6G systems. The project is particularly suited to candidates with
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allowance of £20,780 (2025/26 UKRI rate). Additional project costs will be provided. Overview The project aims to develop a new approach to drug discovery by developing new methods for synthesising and
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analysis, with the aim of understanding how quantum-safe cryptography can be effectively integrated into next-generation network architectures. The work will contribute to the development of secure
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(LCMS, NMR) new covalent warheads with suitable reactivity and stability for application to lysine-TCI development in drug discovery. These optimised warheads will be incorporated into known inhibitors
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modifying geometry and re-running CFD, the research will develop models that map aerodynamic requirements directly to 3D blade geometries and associated flow fields. The project builds on a proven 2D inverse
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with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from