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, such as center-surround receptive fields, simple and complex cells, and even higher-level visual neurons. However, whether this approach also works to explain the tuning of somatosensory neurons is
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Sequential Monte Carlo Methods for Bayesian Inference in Complex Systems School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application Deadline
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: Applications accepted all year round Details Machining is arguably one of the most complex manufacturing and metal forming operations wherein the material experiences a severe deformation condition at very
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PhD in Computational Fracture Mechanics: Methods, Programming and Simulation School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application
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Using Brain Computer Interface to Improve Cognitive Performance School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications
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. However practical engineering and environmental flows are generally much more complex than these canonical flows, involving significant ‘non-equilibrium’ processes, which remain very challenging to predict
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will be validated using the experimental findings and the outcome will be used to develop a more robust manufacturing approach for complex parts for aerospace applications. Previous experience
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the desulphurizing process and to achieve energy savings and increased contaminant destruction. Computational modelling will be performed to assess the oxy-acid gas reaction processes involving multiple chemical
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year round Details Pregnancy is a challenging process to model and replicate due to the complex physiological changes and adaptations. Much is yet to be learnt about pregnancy and why it could go wrong
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year round Details This research is aimed at developing scalable Bayesian approaches able to solve complex and high dimensional problems with multiple objects and multi-sensor data. One such problem is