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- Investigating digital technology and the role of AI and big data in product development
- UNIVERSITY OF EAST LONDON
- University College London
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About the department The Department of Economics at Royal Holloway, University of London is a centre of research and teaching excellence. The department consists of approximately 30 academic staff
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Applications are invited for a 4-year PhD studentship in the Department of Economics at Royal Holloway, University of London. We are inviting applications for a September 2024 start , and the
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is for the UK to have a globally competitive battery supply chain that supports economic prosperity and the net zero transition.” Concurrently, this surge in battery usage poses significant
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focus and/or methodologies. Impact – We encourage applications demonstrating effect on, change or benefit to the economy, society, culture, public policy or services, health, the environment or quality
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, conservation policy decisions. While sovereign states have pushed to modernise agricultural systems, policy inertia has been associated with limited economic, technological and social transformation linked with
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and huge social/psychological/economic negative impacts on patients and the society. Many of these cases go untreated because of the limitations of the current available treatments including their low
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-termWorking TypeHybridAvailable for SecondmentNoClosing Date02-Jun-2024 The Soc-B (Social Biological) Centre for Doctoral Training (CDT) offers unique PhD training in biosocial research funded by the Economic
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in major programme management globally. Infrastructure provision is a key priority of governments around the world, unlocking societal benefits and enabling economic growth. Given
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AI has taken its rightful place as a key disruptive technology over the last few years. The availability of open-source software platforms (e.g. Hugging Face, OpenAI, VertexAI) enables the sharing and access of AI models and their source code. Although these platforms make accessibility to AI...
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to power engineering, mathematics, computing and energy economics. The successful candidate will have excellent understanding in the fields of power system operations and economics. Experience in data