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(essential) / PhD (desirable) in Computer Science, AI, or a related field. Essential skills/ experience required include: Strong Understanding of machine learning algorithms, including deep and federation
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Natural Language Processing, Applied Machine Learning, Neural Networks and Deep Learning as well as Machine Learning for AI and Data Science and Bayesian Theory and Data Analysis. We are looking
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Contract Type: Fixed Term (36 months) This Knowledge Transfer Partnership (KTP) project will harness Data Mining, Multi-modal Data Analytics, Machine Learning, and bespoke Generative-AI tools with the aim
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on the application of computer-aided design (CAD), mathematical modelling, finite element analysis (FEA), and structural optimisation. You should also demonstrate a student-centred teaching focus with experience and
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Economics, Data Analytics, and Machine Learning for Finance. Moreover, the individual is expected to provide exemplary teaching in our undergraduate and postgraduate programs as designated by the Head of
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to their own car or be located nearby public transport links. The proposed system is a novel technology for RFoF, offering PPM a first-to-market opportunity for a novel product to meet a known market need. While
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closely with data scientists to interpret and predict MFA data using nonlinear reaction-diffusion models, 13C-isotopomer analysis, and MATLAB-based simulations enhanced by Bayesian Machine Learning
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grades in engineering or physics and/or computer science and/or signal processing, with the strong and proven knowledge of machine learning and/or some expertise in the areas related to optics / photonics