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supporting country implementation of a suite of tools that have been developed by COP in partnership with WHO’s International Pathogen Surveillance Network – including a WHO costing tool for genomics
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and computational chemistry and this Hub will promote connectivity of the broader community, training, networking, as well as state-of-the-art research. This post will develop artificial intelligence
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will develop and apply methods to transform omics data into networks and executable models, collaborating closely with experts across the Petsalaki and Sheriff groups, Open Targets, EMBL-EBI, and the
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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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of all Japanese national universities. This network comprises three nurseries: Kawauchi Keyaki Nursery school (capacity: 22) and Aobayama Midori Nursery school (116), both open to all university employees
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track record of significant involvement with the profession and/or industry. High level communication skills and ability to network effectively and interact with a diverse range of students and staff
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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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(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
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and visits to the UK Met Office. HEPPI-ML is one out of several WCSSP-India projects and joint meetings will provide an opportunity for further networking. The successful candidate will hold a PhD, or