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Machine Learning-Guided Discovery and Experimental Validation of Novel Antimicrobials Against Pseudomonas aeruginosa (S3.5-MPS-Soukarieh) School of Mathematical and Physical Sciences PhD Research
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Accessible Tinnitus Notch Noise Therapy via Machine Learning, Acoustic Metamaterials and Additive Manufacturing (with NHS and TinnitusUK) EPSRC Centre for Doctoral Training in Sustainable Sound
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using novel hardware accelerators, and the development of fast simulations using generative machine learning techniques. The main focus of the postholder’s job will be data analysis (including
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College of Chemistry and Molecular Engineering, Peking University | Cambridge, England | United Kingdom | 19 days ago
essential, and experience integrating multimodal data (e.g., imaging and genomics) will be especially useful. Experience using advanced analytical approaches, such as machine learning or network analysis, is
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physics-informed digital twin for offshore wind foundations, combining ultrasonic guided wave monitoring, high-fidelity finite element simulations, Bayesian inference, and machine learning. Guided waves can
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a PhD in mathematics or a related discipline and be able to demonstrate previous research experience in using mathematical machine learning and AI methods, or applied mathematics, to solve challenging
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strategies, drawing on the local expertise and available technologies. The project will apply cutting-edge machine learning and computational modelling to decipher the structural organisation, dynamics and
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and teaching portfolio in AI, with a focus in data science, machine learning, image analysis, natural language processing (NLP), Large Language Models (LLMs) or generative AI. You will contribute
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enthusiastic Lecturer in the field of Computer Science and Computer Graphics. We welcome applicants who have a computer science background but with a strong specialism in the field of computer graphics and/or
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of omics datasets, including single-cell and spatial multi-omics. Previous experience applying machine learning/AI methods, including experience and knowledge of python programming, is essential. Experience