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Field
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simulations run on world-class supercomputing facilities alongside AI algorithms and data analytics tools, and share your results with experimental collaborators. The position is part of the Research Council
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mobility needs and motivations based on the travel data, we apply different clustering algorithms (e.g., traditional k-means, density-based clustering, or neural networks). Non-negative tensor factorization
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with advanced photoreactors, modular LED light sources, inline analytics, and machine-learning algorithms for the autonomous optimization of photocatalytic reactions. Research will address key challenges
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subject from a recognised institution. A background in at least one of the following: Dynamical systems Photonics/Electromagnetics theory, design and simulations Machine learning mathematics and algorithms
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, PyTorch), Machine-learning mathematics and algorithms. Experience in Imaging systems (e.g. microscopy), and optical laboratory experiments (lasers/lenses) Funding and eligibility Open to UK, EU and
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from users and participating academies. They will be responsible for evaluating the performance of personalized training plan recommendation algorithms, predictive models of user evolution, and class
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explore applications of quantum resources in a network setting. Among the research topics are quantum cryptographic algorithms and quantum error-correction. How to apply Your application must include
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to next-generation 2D gas sensors. You will manage large-scale simulations run on world-class supercomputing facilities alongside AI algorithms and data analytics tools, and share your results with
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, automated design-space exploration, and cross-technology benchmarking, providing new insights into the co-design of learning algorithms, memory technologies, and neuromorphic hardware architectures for future
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without invasive surgery. Project background We develop advanced focused ultrasound technologies, adaptive closed-loop control algorithms, and ultrasound-responsive micro/nano therapeutic carriers as an