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infrastructure data, and building visual tools to support the interpretation and communication of results. The work has a strong foundation in systems and network research, with an emphasis on DNS protocol
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effort at the intersection of machine learning and applied mechanics. The focus of this position is on extracting information about what a neural network has learnt in a symbolic and (human) interpretable
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’, code ‘8440F’ in ‘Course Title’, blank in ‘Research Area’. Press ‘Search’, select ‘PhD Translational and Clinical Research (FT)’, and save selection. Either upload document or write into ‘Personal
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‘Postgraduate Research’ in 'Type of Study', ‘Full Time’ in ‘Mode of Study’, ‘2025’ in ‘Year of Entry’, code ‘8440F’ in ‘Course Title’, blank in ‘Research Area’. Press ‘Search’, select ‘PhD Translational and
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To Apply Apply via: https://applyto.newcastle.ac.uk/ Course code: 8440F; Reference code: TC120 When asked for a research proposal, select ‘Write Proposal’ and enter the project title (no full proposal needed
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strategies. Job description As part of the EU-funded Innovative Training Network (ITN) 'WATER', you will perform leading research on new ways to characterize water transport through membrane channels
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, potentially including machine learning. This research will support the path to net zero flights and there will be opportunities to become involved in practical aspects of fuel system design and testing during
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The Intelli-Ingest Doctoral Network is an EU-funded Marie Skłodowska-Curie Action (MSCA) initiative is a network bringing together leading academic, clinical, and industrial partners to train a new
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to improve structural durability, reduce material consumption, and support the UK’s net-zero goals. Funding notes: The position includes a full scholarship for UK-based PhD candidates and a half-scholarship
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, biologists, and engineers. You will also have the opportunity to present your research at international conferences, expanding your network and gaining valuable experience in scientific communication