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This research project aims to establish the theoretical and algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It
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university/spinout environment. This is a unique opportunity to work at the forefront of applied research and innovation, helping translate novel control algorithms and hardware prototypes into real-world
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of Oxford. The post is funded by the National Institute for Health and Care Research (NIHR) and is fixed term for 24 months. The researcher will develop multi-sensor 3D reconstruction algorithms to fuse
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-reviewed journal articles. About you You will have a minimum of Bachelor’s degree in animal science, veterinary biosciences, biology, zoology, computer science with interest in digital biotechnology or a
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Position Details School of Computer Science Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,130 to £45,413 with potential
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assisting in the preparation of peer-reviewed journal articles. About you You will have a minimum of Bachelor’s degree in animal science, veterinary biosciences, biology, zoology, computer science with
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assisting in the preparation of peer-reviewed journal articles. About you You will have a minimum of Bachelor’s degree in animal science, veterinary biosciences, biology, zoology, computer science with
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algorithms. The research focuses on wind energy applications, creating a compelling sustainability narrative: developing more efficient computational methods to optimize wind farm performance, which in turn
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Predictive Control (MPC) algorithms, innovative coalition-formation techniques, and validate these through high-fidelity simulations. You will design, implement and validate innovative data-driven economic
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datasets Previous experience in statistical analysis of data, leading to peer reviewed papers and/or presentation of findings at conferences Evidence of excellent scientific analysis skills Strong computer