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fully funded, three-year PhD studentship starting in October 2025, focused on one of the following research objectives: To develop biomimetic designs that enhance energy harvesting and bioelectronic
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learning. The project involves a collaborative team, including a postdoctoral researcher and a PhD student, with specific objectives: Define and acquire a comprehensive database of high-quality video priors
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in a more accurate analysis of optimizing the service performance. Computer vision approaches such as ones for object identification and action recognition can help to automatically identify deviations
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, particularly those attempting data poisoning attacks. Blockchain’s immutability and transparency, combined with novel detection algorithms, could provide a robust defence mechanism to maintain the integrity
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Bayesian inference framework for identifying complex aerospace systems combining with limited experimental data. It can be also used to quantify uncertainties from experimental testing, significantly
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simple identification of nuclear material even when the typical signatures of the materials may be unavailable. X-ray imaging is commonly used to image concealed objects but x-rays are attenuated in
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, must find additional financial funds to cover the difference between home and overseas fees. [More information here ]. The PhD start date is flexible with the successful candidate beginning between
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optimization of batteries against the swelling phenomenon. This project aims at developing scientific machine learning approaches based on the Bayesian paradigm and electrochemical-thermomechanical models in
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and trends in wall adhesion. Through Syngenta’s involvement, we will have access to experimental to guide the project inform modelling decisions. Project Objectives for the PhD project The aim
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techniques and multiple scattering simulations of transmission electron microscopy images. Software development in Python Find out more: https://warwick.ac.uk/fac/sci/hetsys/themes/projects2025 About us: The