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Field
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Programme Students will be recruited to a research cluster within each of the overarching research areas : Heat resilient agriculture (Sustainable Agriculture and Food Security) You will apply to this one
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evaluation. Prognostics is an essential part of condition-based maintenance (CBM), described as predicting the remaining useful life (RUL) of a system. It is also a key technology for an integrated vehicle
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examining the intersection of environmental challenges and the just transition. This role is ideal for candidates planning to apply to top PhD programmes and looking for hands-on research experience on high
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adapt advanced machine learning frameworks (SPARKS and CEBRA) for supervised and unsupervised analysis of high-dimensional neural data to decode multisensory information Investigate how neural
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systems, such as Autonomous Surface and Underwater Vehicles (ASVs and AUVs). These systems are a key enabling technology for the blue economy. However, powering long endurance systems is a challenge
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, Analytical Chemistry, Materials Science, Chemical Engineering or a related discipline. A strong background in materials science, enzymatic processes, or polymer chemistry, particularly carbohydrate
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conditions. The specific aims are: To optimise large-scale production of a high-value carotenoid compound that is naturally released in nanoparticle form by a marine alga. Develop a mechanistic understanding
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infrastructure components, causing potential reliability, safety, and longevity issues. Addressing this critical issue represents a vital area of research in aerospace materials science and hydrogen engineering
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. The aim of the PINZ CDT is to train the next generation of process and chemical engineers, and chemists, to develop the new processes, process technologies and green chemistries required for the process
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according to how well they meet the following criteria: A first class or strong upper second-class undergraduate degree with honours in Engineering, Physics or Materials Science Excellent English written and