18 parallel-and-distributed-computing-"Computer-Vision-Center" PhD positions at Nottingham Trent University
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This self-funded PhD project investigates the complex and at times fraught relationship between photographic practices and the body in the digital age. Photography has undergone a major shift since
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This PhD project will take a multidimensional approach to exploring how Corporate Governance responds to the fast-changing and broad application of Artificial Intelligence (AI) at the organisational
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As digital platforms increasingly mediate individuals' consumption experiences, it has become crucial for marketing and public policy research to understand how individuals' continuing dependence on
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As AI tools become routine in finance, healthcare, logistics, recruitment, performance evaluation and public services, organisations face a compound challenge: getting humans and AI systems to work
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This self-funded PhD project provides a suitable researcher with the opportunity to investigate the role that visual and political propaganda has played during the Covid-19 crisis. The project
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This project will explore how AI and Large Language Modules (LLMs) can be used to automate the generation and orchestration of cyber-attack and defence scenarios within a Hybrid Cyber Range. The
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The rapid rise of Virtual Influencers (VIs), computer-generated personas designed to simulate real individuals, is transforming the global marketing landscape and reshaping how brands connect with
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Public decision-making is increasingly shaped by data. Yet the evidence used by health systems, local authorities, and other public bodies is still dominated by administrative data designed for
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The proliferation of data-driven digital environments has fundamentally reshaped how consumers interact with brands, platforms, and marketplaces (Shah & Murti, 2021). Personalized recommendations
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involve the development of climate change models of fashion supply chains and the design of computer model laboratory experiments (with students) that will aim to determine what and how participants learn