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with expertise in areas such as Machine Learning and Deep Learning, Generative AI, Data-Centric and Responsible AI, or AI for real-world applications (e.g., health, cybersecurity, robotics, or business
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foundational knowledge in signal processing and machine learning. Working knowledge of computer vision and deep learning concepts, including object detection and image-based classification, with hands
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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | about 1 month ago
machine learning where appropriate. The successful candidate will have: A PhD in Data Science, Statistics, Machine Learning, Computer Science or a similar quantitative discipline or demonstrable equivalent
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, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing
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for light–matter interaction in hyperuniform disordered plasmonic structures, including electromagnetic modelling, optimisation of metal–dielectric–metal resonators, and physics-informed machine-learning
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mechanical design, materials selection, and machining techniques. Key Responsibilities: Apparatus Construction & Modification: Fabricate and alter research and teaching apparatus from verbal instructions
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We are looking for a Research Assistant Reporting to Prof Yee-Whye Teh. The post holder will be a member of Oxford Computational Statistics and Machine Learning (OxCSML) with responsibility
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language processing, statistical machine learning and causal inference. The scholarship will fund course fees up to the value of home fees*, a tax-free stipend of no less than £20,780 per annum), plus additional
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analytical backbone of the programme. It develops sensor-enabled diagnostic cells, multi-modal data pipelines and hybrid physics-informed machine learning approaches to understand interfacial behaviour during
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outputs. Experience in cardiovascular MRI, cardiac diffusion tensor imaging, and machine learning or deep learning methods applied to imaging is highly desirable. You will be a collaborative and motivated