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environments such as low light, heat haze, and adverse weather is significantly difficult. These conditions not only degrade video quality but also complicate interpretation by humans and machines, making post
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that have been developed in-house based on the OSIRIS Particle-In-Cell simulation software. The code needs to be verified and further developed with user cases against experimentally gathered data sets
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Generative AI for image and video reconstructions from brain signals DoS Dr Vassilis Cutsuridis (vassilis.cutsuridis@plymouth.ac.uk) 2nd Supervisor Dr. Giorgio Ganis (Giorgio.ganis@plymouth.ac.uk
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Generative machine learning models have made significant progress in recent years. Typical examples include, for example, high-quality image or video generation using diffusion models (e.g
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. Interviews are likely to be online in July. Project Overview: This PhD project aims to investigate and develop solutions to enhance the accessibility of competitive video games for visually impaired players
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paper and grant writing, and thesis and viva preparation. Interviews are likely to be online in mid-late August 2025. Project Description: Deepfakes, i.e., realistic AI-generated images, videos or audio
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preoperative MRI/CT scans to create 3D models of organs and intra-operative surgical videos. The candidate will develop surgical planning and implement new technologies for its integration as VR/AR assistive
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of this PhD is to use optical flow visualisation and measurement techniques to study droplet impact under icing conditions to improve icing codes that aid in design and development of ice detection and
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codes that can be used for the design and analysis of such remediation strategies are too limited. Such a modelling code needs to consider key processes that occur for the transport of ENPs in subsurface
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the way we study, work, and think. Models such as ChatGPT have the potential to free individuals from the intricate and labour-intensive processes involved in writing and coding. Developing system software