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- See advert for details Deadline: 13 April 2026 Supervisors: Dr Subhash Lakshminarayana (Lead) and Dr Michael Faulkner Safeguarding Power Grid Stability in the Age of Artificial Intelligence (AI) Data
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the framework of the project “Grid-scale Energy Storage: Imperatives for Accelerating the Green Transition (RESTORATIVE)”, funded by the European Union’s Horizon Europe’s Research and innovation Programme under
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What you'll receive You'll receive a stipend scholarship of $33,637 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD (1.75 years for MPhil). The duration includes an extension of up to six months (PhD) or three months (MPhil) if approved for your candidature. This is the...
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Expressions of Interest for PhD Scholarships at SMaRT-Pack Job No.: 690308 Location: Clayton campus Employment Type: Full-time Duration: 3.5 years fixed-term appointment Renumeration: 41,555 in line
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9th March 2026 Languages English English English The Department of Electric Energy has a vacancy for a PhD Candidate in Stability of Modern Power Grids dominated by Inverter-based Resources Apply
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-making in smart remanufacturing systems, enabling improved operational performance, resource efficiency, and sustainability outcomes. Alongside the Exeter Digital Enterprise Systems (ExDES) research group
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Your Job: This PhD project focuses on modelling and simulating future gas grids, exploring transformation pathways, and developing cross-sectoral simulation frameworks to support informed decision
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survivorship, and to decrease the incidence of cancer or late effects from cancer. Design and specify smart mobility technologies and solutions that support active mobility and micro-mobility and can be
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grid stability, flexibility, and sustainability. The project offers you competitive salaries (plus allowances) and funding for technical and personal skills training and participation in international
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wide range of markets such as automotive, industrial and aerospace. At the Cottbus location, our department conducts research on innovative smart sensing solutions for time- and energy-critical