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capable, adaptable, and collaborative researcher with deep expertise in geochemistry, economic geology, or data science, and a strong interest in working across disciplines. The successful applicant will
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publications and research experiences in structural dynamics and structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data
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structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data analysis techniques, are preferred. Application process To apply
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developments like automation, predictive analytics, artificial intelligence and machine learning, allowing for increased efficiency while reducing costs and keeping employees safe. To ensure our students and are
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degree by research has a 3-year deadline during which many students in the biological sciences struggle to learn the varied new techniques proficiently in a timely manner. Far too many students spend 6 to
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. The specific research areas we will explore are + Adaptive scientific deep learning methods for mathematical physics problems governed by partial differential equations (domain decomposition, adaptive quadrature
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HDR courses. Eligibility criteria The applicant will have a computing background in deep learning and familiar with psychology / human centred computing or biomedical engineering approaches. Some