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personal interest in experimental aerodynamics/aeroacoustics and environmentally sustainable technology is highly valued. Skills in data analysis and flow physics interpretation are essential. Ability
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of target species distributions by combining species presence/absence with environmental data to predict wider-scale fish distribution and identify niches Use data and models to identify: i) additional
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but not essential. A strong background in materials science and/or modelling is essential. Experience in machine learning, computer vision, and computer programming is desirable. In addition
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Engineering Department Location: Newport, Shropshire TF10 8NB Salary: £35,166 per annum Post Type: Full Time Contract Type: Fixed Term - Until 30 September 2028 Closing Date: 23.59 hours BST
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that facilitate seamless integration between AI hardware components and embedded systems, ensuring efficient data flow and processing. Cranfield University offers a distinctive research environment renowned for its
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be awarded a master’s degree in any of the following disciplines: Chemical Engineering, Physics, Mechanical Engineering, Energy Engineering, Environmental Engineering, Computer Science, or other
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The PhD is funded by a NWSSDTP CASE studentship and is open to Home (UK) students only. This interdisciplinary project investigates the health and environmental impacts of outdoor advertising, with
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and environmental impact of future passenger aircraft concepts. The understanding of convective heat transfer at conditions such as those experienced in a gas turbine continues to be a challenge, with
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Title: Predicting and Improving the Quality of Recycled Plastics Using Advanced Metrology and Data Science Research theme: "Materials Characterisation" "Data Science and Machine Learning in
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degree or equivalent in a related discipline. This project would suit individuals with academic or industrial experience in electronics, electrical engineering, systems engineering, or AI/data analytics