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University Guide 2022) within the University of Southampton which is ranked in the top 1% of universities worldwide. The successful candidate must have a strong background in machine learning. Prior knowledge
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Supervisory Team: Hector Calvo-Pardo; Vahid Yazdanpanah; Tiago Alves (Solar Americas ); Enrico Gerding PhD Supervisor: Hector Calvo-Pardo Project description: Machine learning (ML) holds immense
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or electronic engineering, machine learning, medical physics or neuroscience. Knowledge of electronics is essential. Strong programming skills (MATLAB is essential) & Phyton (TensorFlow library, desirable
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and device design domains. In addition to field specific skills, the University of Southampton training and mentoring programmes will provide training in report writing, project management, time
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to Exa-scale computing Collection and production of databases (DNS) for different flame regimes and fuels (to also be used for machine learning training in parallel projects) Investigation of interaction
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privacy-preserving technology in Machine Learning. Despite its advancements, FL systems are not immune to privacy breaches due to the inherent memorisation capabilities of deep learning models
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and collaborate with a strong multidisciplinary team of academics at University of Southampton and experts from University College London. Person specifications: Master degree in machine learning
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Project title: Using machine learning to evaluate atomic force microscopy nanoindentation data Supervisory Team: Dr Martin Stolz, Dr Sasan Mahmoodi Project description: The University of Southampton
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(notably through neural networks and machine learning) is now emerging as a means both to implement and to optimise the control. The Smart Fibre Optics High-Power Photonics (HiPPo) programme is a new £6
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our high-fidelity multidisciplinary design optimisation (MDO) framework for the design of BLI fans. The proposed MDO is based on adjoint aerostructural optimisation, augmented with machine learning