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optimisation – to enhance the ruggedness and efficiency of power converters for grid-scale and high-power-density applications. The student will be supervised by Dr. Jiaqi Yan and Prof. Layi Alatise based
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English A collaborative mindset and the ability to work independently within a larger team What we offer A fully funded 4-year PhD position (1.0 FTE, 38 hours/week) within a National Science Foundation
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different areas of AI (such as machine learning, computer vision, natural language processing, and bioinformatics), hosting powerful computing facilities internally and as part of the EU EuroHPC supercomputer
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with wheat experiments will be considered an asset; excellent command of spoken and written English; immediate availability; and a strong ability to work in a team. The PhD Researcher will also
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candidate holding a PhD degree in Electrical and Computer Engineering, Physics, Engineering Physics or related areas and with a suitable scientific and professional curriculum may apply. In the case of a PhD
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principled concepts and mechanisms to ensure robust security and privacy for software. The PhD student will be supervised by Prof. Andrei Sabelfeld (Wallenberg Scholar and recipient of awards from ERC, SSF
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Supervisor: Prof. Tanvir Hussain Industrial Supervisor (if applicable): Dr Chris Bullough Industry Sponsor Information The UK High Temperature Power Plant Forum brings together industry, academia, and
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and as part of an interdisciplinary and collaborative research team. Selection process Applications should be submitted by email to Prof. Frederik De Laender by the published deadline. The application
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and computer scientists PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science. Candidates should have an exceptional academic record and a robust
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at the University of Oldenburg and involving national and international partner institutions. As a diverse and international team of scientists from biology, physics, chemistry, computer sciences and social sciences