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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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Investigating cyber-physical power system resilience and operation School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Xin Zhang Application Deadline: Applications
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Adaptive Learning in Brain-Robot Interactions School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications accepted all year
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student will join the Electrical Machines and Drives Research Group within Sheffield Engineering Faculty. Specifically, the PhD student will join the Control and Power Systems (CAPS) Laboratory, led by Prof
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(e.g., tensor or multi-modality data). Work with other researchers and PhDs to develop AI applications related to image processing, computational imaging as well as computer vision. Lead a team of junior
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at other academic institutions. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing
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, under the following conditions: 1. SCIENTIFIC AREA Electrical Engineering 2. ADMISSION REQUIREMENTS Bachelor’s degree in electrical and computer engineering or bachelor’s degree in electrical
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PhD in Electrical and Electronic Engineering: Advanced Protection Strategies for Low Voltage Networks with High Penetration of Power Electronic Devices (Prot-LVNet) Award Summary 100% fees covered
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the University of Palermo (UniPa). PhD Programmes: 1. Capacities Building for Global Health 2. Civil Engineering and Architecture; 3. Electronic and Computer Engineering; 4. Industrial Engineering; 5. Neuroscience
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/7068119-phd-position-in-fluid-dy… FR : https://careers.fluiidd.com/jobs/7067645-poste-de-doctorat-en-mecanique… Funding category: Financement de l'Union européenne This PhD position is part of the Marie