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Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems
Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Aryan
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programme designated to attract and empower the world’s brightest early-career researchers. This fellowship supports outstanding scientists who harness Artificial Intelligence (AI) to accelerate breakthroughs
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potential later start dates.) Supervisors: Professor Gwyneth Davies, Professor Rich Fry (Swansea University) and Professor Jenni Quint (Imperial College, London) Aligned programme of study: PhD in Population
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represent stakeholder preferences. The integrated Research Training Group (RTG) will provide doctoral researchers with an attractive qualification program, foster networking, enable internationalization and
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(including 38 days off a year) Regular internal seminars, colloquia and PhD/postdoc networks across the department and college, specifically designed to support early career researchers. Personalised career
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: Experience with generative AI deep learning and active involvement in data science and machine learning projects. Experience in neural network architecture, cloud computing, and database development and
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science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university
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Degree PhD Course location Potsdam In cooperation with The innovative PhD and postdoctoral programme is offered in conjunction with the Faculty of Digital Engineering, a faculty jointly founded by
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organizing workshops, reports, position papers and detailed roadmaps to foster cross-agency engagement and outline utility-scale roadmaps for the QHPC initiative. Qualifications: PhD in Quantum Computing
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will be funded for three years with possibility of extension and have to enroll in a PhD program at the Graduate Center for Neurosciences, Biophysics, and Molecular Biosciences ( GGNB – collaboration