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machine learning, this project will develop and validate a multi-time scale digital twin concept for advanced condition monitoring and maintenance of direct-drive permanent magnet generators and converters
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on machine elements, tribology, lubrication, and sensor systems for wind, auto, rail and energy applications. The group has well equipped labs and its own office space for the PhD students. https
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science, computer vision, medical/image analysis is essential. Experience of research (or interest in) in one or more of the following: deep learning; big data management; computational pathology; medical imaging
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: 30 June 2025 Details Join a project that will combine physics, machine learning, and ultrasonics to design new sensors for the digital revolution in industry. Ultra-thin membranes are produced in many
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/interview) A degree (Bachelor’s, Master’s, or PhD or equivalent experience) in Software Engineering, Computer Networks, Embedded Systems, AI, Data Engineering, or a related subject (assessed at: application
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significant advancements with the integration of Artificial Intelligence (AI) and Machine Learning (ML) techniques. This PhD research aims to explore the development and application of Process Induced Neural
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strong analytical and problem-solving skills. A background in machine learning, data science, automation, optimisation, or control is desirable. You will have experience in analysing data with machine/deep
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subsystems • High performance tunable and reconfigurable oscillators and frequency synthesisers • Application of AI / Machine Learning to physical layer circuitry, signals and waveforms Researchers can expect
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Kirill Horoshenkov Application Deadline: 16 May 2025 Details Join a project that will combine physics, machine learning, and ultrasonics to design new sensors for the digital revolution in industry. Ultra
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granulation process. The aim of this project is to use Industry 4.0 technologies including machine learning and artificial intelligence (AI) to develop digital and soft sensors to predict product properties and