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Field
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, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions on paper writing, networking and career development after the PhD
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to the development of future manufacturing systems that are robust, reconfigurable, and fit for long-term operation. Motivation Modern manufacturing systems are required to operate under increasing uncertainty
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learning, control theory, and embodied autonomous systems. The successful candidate will contribute to the development of learning-based control methods that are not only high-performing, but also safe
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seaweed processing, the need for drying, this research has the potential to significantly reduce environmental impact, improve economic viability, and open new pathways for high‑value product development
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with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from
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disabilities. This specific project will focus on the development, integration, and staged real-world validation of wearable assistive technologies. The successful candidate will explore how assistive devices
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focused on methodology development, providing excellent all-round training in practical organic synthesis with particular emphasis on contemporary photochemistry. You gain extensive experience in analytical
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, career development, and outstanding facilities with leading industrial partners. The MTC is an independent UK Research and Technology Organisation accelerating disruptive manufacturing technologies.
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and analysis. In return, we offer an excellent benefits package including generous annual leave entitlement, pension scheme, induction and development support as well as family-friendly policies
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football officiating decision support systems for evaluation. Intervention development targeting components of the decision support systems. Explore intervention feasibility, acceptability, and effectiveness