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systems, with emphasis on criteria for robustness, reliability, and stability. Topics of interest include the study of symmetries and equivariance and their implementation in deep neural networks
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networked energy hubs for, potentially, as many as over 2,500 railway stations and depots across the UK. You will be improving efficiency and supporting transport electrification with railway microgrids and
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frameworks. Expertise in modeling geophysical systems. Strong proficiency in machine learning libraries such as PyTorch. Proficiency in writing clean, efficient, and well-documented code. Knowledge
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ability to write code in Python Experience working in a research team Excellent writing and communication skills, especially for academic papers Desirable criteria Experience working with NHS data or other
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Newcastle Airport. The School has an extensive network of leading international partner institutions and close ties with the City of London and the Inns of Court. It counts among its alumni two Supreme Court
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professionally stimulating working environment including a comprehensive network of international collaborators. salary as PhD research fellow (code 1017) in the state salary scale. This constitutes a gross annual
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, biomedical engineering, psychology and have excellent coding and data analysis skills. You will be highly motivated, collaborative, interested in technology and interdisciplinary research and willing
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Charter & Code certificate by the European Commission, and is entitled to use the HR Excellence in Research (HRS4R) logo. The University is also a member of the EURAXESS network, which contributes to good
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and rheumatology. Dr Clayton also leads the cross-college Birmingham Translational Mitochondrial Research Network, providing additional opportunities for the candidate to expand their network and work
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PhD in Computer Science, Engineering or other Machine Learning-related field. • Programming experience in python, C++ or other relevant language and experience in deep neural networks • Strong