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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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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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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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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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' 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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approaches, assess mechanical and filtration performance post-regeneration, and quantify environmental trade-offs using ISO 14040/44-compliant lifecycle assessment frameworks. Guided by the principles
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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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records and clinical free text. Projects will focus on improving infection diagnosis and treatment, detecting outbreaks in real time, and optimising hospital care pathways. The post is embedded in two major
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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
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informal inquiries, please contact George Gordon george.gordon@nottingham.ac.uk . Application sent directly to this e-mail will not be considered. Our university is a supportive, inclusive, caring and