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We are seeking to appoint a Postdoctoral Research Associate (PDRA) to work in the field of the Nonlinear Fourier Transform (NFT) and soliton theory and its applications in optical signal processing
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, 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 for an associate able collectively
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, 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 for an associate able collectively
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will work closely with Professor Hogg on a range of projects. The role will involve advancing both 2D and 3D coupled wave theory simulations, contributing to world-class research outputs, and supporting
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physics, Bayesian inference, and complex systems theory. You will contribute to method development, simulation and validation in close collaboration with experimental partners. Key Responsibilities: Carry
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. publication record etc. Data Science algorithms and techniques. Probability & Statistics. Parsing frameworks. Deeper knowledge of AI techniques beyond assembling predefined components. Background in theory
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support. This KTP is a great opportunity for someone who wishes to plan and deliver business change. You will work with senior University academics on a commercial project which puts theory and modelling