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, computer-aided decision support systems Previous experience with using deep learning models (e.g., convolutional neural networks, autoencoders, transformers) for academic research Documented experience in
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, computer-aided decision support systems Previous experience with using deep learning models (e.g., convolutional neural networks, autoencoders, transformers) for academic research Documented experience in
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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contact with participants after they have taken part in the research. Support the development and submission of funding bids including: working on data and impact plans, networking with non-academic
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The Role The postholder will contribute to the UKRI-funded Great British Chemicals (GBC) Hub, a seven-year national programme bringing together 10 UK universities, industry partners, and
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) Country United Kingdom Application Deadline 21 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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) Country United Kingdom Application Deadline 21 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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software such as recommendation systems, computer-aided decision support systems Previous experience with using deep learning models (e.g., convolutional neural networks, autoencoders, transformers
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been recognized for its contributions to geoinformatics and cartography, including a highly successful master’s program. This interdisciplinary basis in computational, social, and natural sciences
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Associate to join a research project based in the groups of Prof. Aurora J. Cruz-Cabeza and Prof. John Evans. The project is part of a new £7m EPSRC funded Programme Grant that brings together a team of