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lead the development of multi-modal MRI foundation models that integrate imaging data and radiology reports. Using advanced deep learning techniques—including vision-language architectures (e.g., CLIP
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learning and orgnisational development practitioner? The University of Leeds is one of the top 135 universities in the world. We have a truly global community, with more than 39,000 students from 170
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identification framework. The role involves developing a species-agnostic computational pipeline that integrates cutting-edge deep learning methods - such as AlphaFold2 and FoldSeek -to enhance protein function
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The always-on, safety-critical nature of air traffic control raises rich and exciting challenges for machine learning and AI. The University of Exeter in partnership with NATS, the UK’s main air
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Adversarial machine learning - Identification and prevention of cyber-physical attacks on infrastructure (S3.5-MAC-Champneys) School of Mechanical, Aerospace and Civil Engineering PhD Research
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the complex multiscale nonlinear interactions at the origin of such extreme events. In this project, you will develop machine learning-based reduced-order models which can accurately forecast
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Deep Learning, Neural Networks, and Machine Learning. Experience with popular deep learning frameworks (e.g., PyTorch, TensorFlow, Keras). Strong commitment to teaching excellence and student-centered
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the link provided only. Derby College Group (DCG) are looking for a Learning Support Trainer to join our Student Experience and Pastoral team to support a range of neurodiverse students across DCG's
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reservoirs. By embedding governing equations and boundary conditions directly into machine-learning models, the project aims to enable efficient exploration of high-dimensional parameter spaces without
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academic collaborators, you will contribute to cutting-edge research in artificial intelligence, multimodal learning, and machine translation. The role involves developing and fine-tuning large-scale