78 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof"-"Prof" positions at Cranfield University in United Kingdom
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will handle real human waste samples to develop robust protocols for solid and liquid waste characterization, microbial profiling, and safety validation, including pathogen screening. Focus areas include
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potential health impacts. Water utilities across the UK, including Anglian Water, are developing strategies to meet new regulatory guidelines and enhance the resilience of water supply systems. Anglian Water
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this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning. A typical caveat of data-driven modelling
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Design and Manufacturing Engineering to Tackle Global Sanitation Challenges - MSc by Research or PhD
to create solutions that are not only functionally excellent but also economically viable for large-scale deployment in diverse global contexts. This project aims to develop comprehensive design and
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efficiency, and resilience. This research directly addresses these challenges by developing high-performance, secure, and adaptive AI-driven architectures. With increasing global investments in AI-powered
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priority in both national security and commercial contexts. Overview To develop and evaluate a non-destructive verification method for multi-layer FR4-based printed circuit boards using advanced imaging
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Responsibilities: Assist with the preparation of buffets, sandwiches, salads, and accompaniments Prepare foods to the required standard and in line with food safety regulations Ensure timely delivery and attractive
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, and energy efficiency. Advanced Manufacturing: Developing and implementing cutting-edge fabrication techniques (e.g., micro-fabrication, polymer, nanoparticle) to realise the designed metamaterial
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sources compared with gas turbines, etc. The aim of this PhD research is to develop novel performance simulation capabilities to support the analysis and optimization for sCO2 power generation systems
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validated surface functionalisation methods that significantly improve metascintillator performance, accelerating the development of advanced radiation detectors for ToF-PET and enhancing early cancer