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in device behaviour will be explored to minimize false positives Scalability and Real-world Deployment: This research project will address the scalability of the proposed detection system to handle a
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simulations, covering a range of typical part geometries and deposition strategies, complemented by experimental validation. • Developing an efficient method for converting partial surface temperature data
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to post-doctoral level. They will receive hands-on training in fluorescent microscopy, fungal culture, transcriptomics, next-generation sequencing, molecular microbiology, nuclear magnetic resonance
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dynamics, and evolutionary adaptability compared to sexual reproduction in natural (wild) plant populations. We will address two questions: (1) Does apomixis act as a transitional “safety net” mechanism post
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Fixed-term: Funds for this post are initially available for 2 years. This is an exciting opportunity to join new Bennett School of Public Policy (BSPP) at inception. The BSPP is part of the Faculty
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nonlinear effects. These nonlinear effects will be generalised via correction terms discovered by machine learning from a large numerical simulated dataset. This dataset also allows for extending the theory
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alongside numerical simulations relying on high-performance computing and reduced order modelling. We aim to gain new insights about the physical coherent structures which are most relevant to viscoelastic
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, providing the foundation for performance-based specifications that enable more sustainable, resource-efficient, and climate-friendly concrete production. For project-specific enquiries please e-mail Prof
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' button above. Please ensure that you upload a covering letter and CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you
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Cranfield University and Magdrive will study plume effects of Magdrive's dynamic pulsed plasma thruster on relevant targets. Simulation of plasma expansion and condensation in the space environment will be