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science, computer vision, medical/image analysis is essential. Experience of research (or interest in) in one or more of the following: deep learning; big data management; computational pathology; medical imaging
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). Modelling tools used will vary according to application but are likely to including process simulation using Population Balance Modelling, DEM simulations and Machine Learning Approaches. Main duties and
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about 20 people, consisting of postdoctoral and PhD researchers and faculty with expertise in NLP, NLG, Ethics in AI, Reasoning, Generative AI, Multimodal and Embodied AI, machine learning, and
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The Centre for Doctoral Training in Machining, Assembly and Digital Engineering for Manufacturing (MADE4Manufacturing CDT) is a collaboration between the Faculty of Engineering, Advanced
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Physics informed learning for high fidelity medical simulators School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Sanja Dogramadzi Application Deadline
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adaptability of wearable and medical devices, and safer human-machine interaction. Machine Learning (ML) is an emerging technology with significant potential in integrating and embodying soft robotics
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initiative - Project management skills and business acumen. - Machine Learning techniques. - Proficiency in Python or Java programming. - Excellent written and spoken English communication skills. - Ability
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: 30 June 2025 Details Join a project that will combine physics, machine learning, and ultrasonics to design new sensors for the digital revolution in industry. Ultra-thin membranes are produced in many
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• The advancement of light-microscopy methods to peer even deeper into large tissues • The development of computational methods ranging from image processing to machine learning to analyse, segment, model, and
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of Cognitive Dysfunction in Older People Using Supervised Machine Learning Techniques: Observational Study JMIR Med Inform 2020;8(9):e20995 Tobin et al. Co-Clustering Multi-View Data Using the Latent Block Model