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will develop autonomous on-board guidance algorithms for space missions using open-source numerical solvers for convex optimisation developed at the University of Oxford. The focus will be on designing
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experimentation with Asst. Prof. Eli N. Weinstein. Your goal will be to develop fundamental algorithmic techniques to overcome critical bottlenecks on data scale and quality, enabling scientists to gather vastly
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is encouraged to apply. A successful candidate would develop a research and teaching agenda around: Co-Designing algorithms and hardware for processing massive amounts of high-dimensional streaming
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research on the design and development of next-generation wireless communication systems. Specific topics include, but are not limited to, waveform design for the THz spectrum under hardware constraints
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Responsibilities The PDA will conduct research to design and develop optical wireless communication systems. This involves the development of mathematical models for signal transmission/reception, derivation
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"Practical Quantum Advantage of Reservoir Computing on NISQ Devices." Position Overview The successful candidate will conduct research in quantum and quantum-classical algorithm development, focusing
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, Dental Materials, Dental Technology or a related discipline, with research experience in Non-linear Finite Element Analysis, CAD for dental prostheses, AI algorithm development using python / PyTorch, and
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. The task of the theory group led by Prof Kyriienko at the University of Sheffield within the consortium is to lead nationally the development of quantum machine learning (QML) algorithms. The research will
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focus on the fluid-structure interaction algorithm developments. The project leadership team consists of Dr Mokarram Hossain and Prof. Djordje Peric at Swansea University and Dr Chennakesava Kadapa and
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University, Polytechnique Montreal, University of Calgary, UBC and The University of Victoria). There are 21 Canadian and international companies in the consortium. CANRIMT 3 is led by Prof. K. Erkorkmaz