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offers a PhD student position (all genders) in Accelerator Physics Reference number: 25.141-6680 for a contract starting at the earliest possible date. Our project / Your tasks: The position is embedded in
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Digital-Twin Technology to Accelerate Development of Electric Propulsion Systems This exciting opportunity is based within the Power Electronics, Machine and Control Research Institute at Faculty
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PhD Scholarship in Accelerating Transport Electrification Job No.: 691186 Location: Caulfield campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment Remuneration: The successful
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turnaround times. You will develop and validate new capabilities within XCALibre.jl, Nottingham’s GPU-accelerated, AI-ready CFD framework turning complex coupled physics into practical tools that engineers can
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machine-learning-based surrogate models to accelerate design and control workflows. This PhD studentship would suit candidates with backgrounds or interests in engineering, physics, applied mathematics
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: Physics / Accelerator and Beam Physics , Accelerator and Plasma Physics , Accelerator Physics , adsorption and layered material physics , all subdisciplinary areas of Physics and Chemistry , Any , Applied
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About the project: Machine learning accelerated Inverse Design of Graphene Nanoribbons for Green Energy Supervisor: Dr Sara Sangtarash, University of Warwick Thermoelectric materials convert heat
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. The relationship between the fabrication process parameters and the microstructure of the alloys will be investigated. The assessment of performance will be based on correlative accelerated laboratory testing and
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focus on the newly-discovered physical and chemical properties that arise from the behaviour of matter at the nanoscale. ICN2 has been awarded with the Severo Ochoa Center of Excellence distinction
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towards the next-generation co-design platform, accelerating the development cycle for complex interdisciplinary systems. Motivation Aircraft design is a highly complex process that must balance performance