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Research theme: Nanomaterials This 4 year PhD is part of the Faculty of Science and Engineering and National Physical Laboratory collaborative programme. Tuition fees will be paid and you will
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PhD Neural Control of Vocal Pitch: Exploring the Intersection between Speech and Language Processing
PhD Neural Control of Vocal Pitch: Exploring the Intersection between Speech and Language Processing (V24.0349) « Back to the overview Job description Period of funding: 1.0 FTE, 4 years 0.8 FTE, 5
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Award Summary 100% fees (Home & international), a minimum tax-free annual living allowance of £19,237 (2024/25 UKRI rate), and a research training support grant of £20,000. Overview This PhD project
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your application! We are now looking for 1-4 PhD students in Automatic Control, at the Department for Electrical Engineering (ISY). Your work assignments The advertised positions will be within our new
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automated inline quality control exists to qualify fiber formation. The task of the PhD project is to research the parameters that drive the quality of electrospun nanofiber layers, and devise the methodology
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. The main objective of this project is to explore, identify and use Metamaterial-derived bandgaps for the control of transitional airflows. We are seeking two enthusiastic and skilled PhD candidates to join
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to support a fully-funded PhD studentship in the area of Smart Energy Systems – Aggregated Demand Response (ADR). The PhD candidate will explore flexible and scaleable ICT and control system achitectures
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; Maynooth University, National University of Ireland Maynooth | Maynooth, Leinster | Ireland | 19 days ago
The Centre for Ocean Energy Research (COER) at Maynooth University, Ireland has further opportunities for a well-qualified applicant interested in PhD level research on the control of wave energy
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Control Laboratory (IfA) is a community of approximately 50 researchers working on the development of methods and computational tools for automation, exploring their potential for promoting our social
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Synchrophasor-based technologies by applying real-time simulation and monitoring platform. The applied methodology Dynamic System Rating will be Autonomously Controlled. The project is financed by industry and it