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your software engineering skills to redefine manufacturing? This exciting PhD project is for you if you want to develop innovative techniques to ensure industrial robots are reliable, safe, and adaptable
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grade. Generate data through comprehensive laboratory grinding tests on various rail grades to train and validate the ML model. Utilise numerical modelling to establish acceptable thresholds for surface
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markers. Develop machine learning models capable of predicting Category 1 emergencies based on real-time audio features extracted from calls. Work iteratively with YAS researchers to test and refine
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at higher risk offered PSA blood tests which are not definitive. Our research aims to develop an image-based approach to screening, combining PSA testing with MRI to better identify aggressive cancers
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Experience: Gain valuable industry experience with a global leader. World-Class Environment: Develop your research expertise in a world-class tribology group. Flexible start date. Who Are We Looking For? We
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correction. To apply for this project please complete an application form here Funding Notes A directly funded project which covers tuition fees and maintenance for a UK student. References https
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: Be at the forefront of clean energy solutions, contributing to a sustainable future. Industry Experience: Gain valuable industry experience with a global leader. World-Class Environment: Develop your
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skills used in academic research and industries (including mechanical, aerospace, automotive, energy and biomedical engineering). Flexible start date! What You’ll Need A first-class or upper second-class
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research frontier in computer vision that combines three critical challenges: class imbalance, recognition of rare and unseen species, and dense labelling of high-resolution imagery. The candidate will
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the University of Sheffield, and embark on this transformative PhD project! What You’ll Gain: Full PhD funding including tuition fees and a generous stipend Hands-on experience with world-class researchers and