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-photonic computing architectures; Silicon-photonic network architectures Machine Learning Algorithms/Systems: Experience in design and use of ML algorithms; Experience in using ML for designing computing
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verification. This role involves: Contribute to the research goals of the project through collaborative research, with guidance from mentors and a strong network of collaborators Contribute to writing bids
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connectivity of the broader community, training, networking, as well as state-of-the-art research. This post will develop artificial intelligence methods for the prediction of crystal structure, the critical
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to empower recent Ph.D. graduates to conduct world-class research, publish in top-tier journals, and build a robust scientific network. By joining us, you will receive the mentorship and support necessary
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the biomolecular world of life with the networked world of technology. IDMxS seeks to expand such capabilities to include health information, such as viral infection or molecular signatures of disease, and
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battery supply chains, to join a successful team at the University of Birmingham. In line with the principles of Net Zero Pollution, the primary aim of this role is to advance understanding of how a
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to deliver an integrated systems approach to energy geoscience that will meet Net Zero goals. Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first
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Deep learning expertise with advanced architectures including transformers, convolutional neural networks, and recurrent neural networks for multimodal (biomedical) data Demonstrated experience with
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: Developing and deploying machine learning models (e.g. graph neural networks, neural force fields, diffusion models) for molecular property prediction and molecular generation. Integrating quantum chemistry
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(www.c4ts.qmul.ac.uk ) provides the framework for trauma sciences research that we believe will lead to a step-change in outcomes for trauma patients. We are also a member of the International Trauma Research Network