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Advanced brain-computer interface School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications accepted all year round
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to explore include mono-chromatic and multi-chromatic illumination, structured illumination, and telecentric illumination distortions. Computer based image analysis approaches will be developed, including
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engineering Engineering » Aerospace engineering Engineering » Mechanical engineering Computer science » Autonomic computing Computer science » Cybernetics Engineering » Electronic engineering Researcher Profile
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bank transfer. Eligibility criteria Candidates must be enrolled in a PhD degree/programme in electrical and computer engineering, informatics and telecommunications engineering, or equivalent
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The analysis of generated data and communication within an interdisciplinary team made up of people working in natural, life and computer sciences as well as medicine Presenting the research outcome in lab
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English as determined by a satisfactory paper-basedtest score of 500 (computer-based of 173 or internet-based of 61) on the Test ofEnglish as a Foreign Language (TOEFL) or a satisfactory test score of 6.0
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proposed molecular quantum computer architecture will be investigated for its use in real-world quantum computing and other applications, such as quantum simulations and precise quantum measurements
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learning/computer vision methodology. The focus of this project will be on the development of deep learning methodology for spatio-temporal medical image analysis, that is medical images that evolve over
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for Science and Technology (FCT) I.P, under the following conditions: Scientific Area: Engineering Recipient category: Computer Engineering, Biomedical Engineering or related fields Identify the type(s) of
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Machine Intelligence (CVI²) research group (CVI² Group ), led by Prof. Djamila Aouada, to pursue a PhD in Computer Vision with a focus on Media Forensics and Deepfake Detection. The candidate will conduct