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Appropriate computational skills and knowledge of programming languages (Python, C++, etc.) Experience with Machine and Deep Learning models and software (Keras, Scikit-Learn, Convolutional Neural Networks, etc
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the power of AI/ML and software-defined networking (SDN), and distributed learning methodologies, the research will focus on creating self-configuring, self-optimizing, and self-healing mechanisms for real
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. Despite some success stories of the use of ultrasound/AE-based technologies for CM of low-speed bearings, high investment cost for hardware and software is the main bottleneck in adopting these technologies
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infrastructure. For reduced (CapEx) costs, greater flexibility and faster evolution, mobile core/radio network functions today are largely realised in software over commodity computing hardware in private/public
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atomic physicist and quantum sensor developer, Dr Anna Kowalczyk, and a developmental neuroscientist, Dr Barbara Pomiechowska, at Birmingham BabyLab, in collaboration with an industrial partner, FieldLine
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modelling and simulation techniques and software packages would be an advantage. Programming skills in languages such as Python, C++, MATLAB, are desirable, as is an awareness of machine learning or other AI
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using force plates and strain gauges. Use of statistical analysis software packages. Funding Eligibility: This studentship is only available to students with settled status in the UK, as classified by
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plates and strain gauges. Use of statistical analysis software packages. Funding Eligibility: This studentship is only available to students with settled status in the UK, as classified by EPSRC
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Multiple self-funded PhD positions are available in Modelling and Simulation (M&S). The project will aim to mature software repositories describing the biomechanics of the human brain. The M&S tools
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tracking and psychology in general, including cognitive/thinking styles. Willingness/experience to set up experiments using eye tracking and experimental psychological software. Effective scientific and