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to talented prospective or mid-study students towards their PhD studies in Research and Development Management. Tenable period Up to three years (pro-rata for part-time students) Continuation of award
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. Start date: 1 July 2025 or thereafter. Closing application date: 31 May 2025 Duration: three years, full time Project outline The PhD studentship aims at studying and developing more comprehensive user
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enabling 3D flux paths, novel cooling strategies, and increased architectural flexibility. Aim This PhD project aims to explore and optimise new electric machine topologies that go beyond conventional 2D
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) years (details below). Your future tasks: You actively participate in research, teaching & administration, which means: You are involved in research projects and scientific studies in the area of
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to underpin a sustainable local economy. Therefore, this PhD provides a unique opportunity to be at the forefront of applied ecological restoration efforts across a vital landscape. About The Research Project
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a full-time PhD position.
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
Fully funded PhD at Cranfield University, supported by the EPSRC DTP and Rolls-Royce. This 3-year project covers tuition fees, a tax-free stipend, and funding for training, conferences, and a
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PhD programme within QMUL’s Wolfson Institute of Public Health, under the supervision of Dr Giuliano Russo (WIPH) and Prof. Pietro Panzarasa (School of Business and Management). As part of the project
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optimisation, industrial exposure, or soft skills including presentation skills, project management, and communication skills. There are also numerous employability opportunities that the PhD will offer whether
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managed to allow for efficient solar energy harvesting. This project will deliver novel methods for modelling and controlling LGS structural dynamics in the extreme orbital environment. The objectives