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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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Research and Imaging Centre (BRIC; https://www.plymouth.ac.uk/research/psychology/brain-research-and-imaging-centre ) . TARAs benefit from waived study fees and will work towards a PhD in an area of
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Fellow), in its current wording; FCT Regulation for Research Fellowships, available at https://drh.tecnico.ulisboa.pt/files/sites/45/despacho_8532_regulamento_bolsas.pdf . Workplace: IN+ Center
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Do you want to help develop the next generation of safe and intelligent machines? We are now looking for a PhD student in semantic and goal-oriented communications with focus on cloud-assisted
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Multi-Sensor Data Fusion and Smart Decision Making School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application Deadline: Applications
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further latency. Crucially, current MRI systems lack any form of predictive intelligence that could inform optimal configuration ahead of, or during scanning. The Computer Engineering (CE) section
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-signal models of GFM wind turbine generators be developed to capture nonlinear fault dynamics and current limiting behavior? How do multiple wind turbine generators interact in a multi-machine system
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conduct world-class applied research. We change and make a difference. Do you want to become one of us? The PhD position is located within Department of Computer Science (DIDA) SDS (secure and distributed
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PhD degree in Electrical engineering or any related or advanced degree preferred. Specialty in power systems and distribution systems. Experience in commissioning energy storage systems and/or inverter
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degree Computer Science, Applied Mathematics, Mathematics, Statistics, Electrical Engineering, Physics, or a closely related field plus two years of relevant work experience. Experience with machine