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analyse vast datasets to identify potential issues before they escalate, facilitating proactive maintenance and compliance assurance. Integrating AI into certification and monitoring processes is
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and pancreatic malignancies. You’ll develop innovative workflows to integrate and analyse large-scale multi-omic datasets from Genomics England’s 100,000 Genomes Project, including whole-genome
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analyse the experimental data, developing techniques to extract information about the rotational orientation dependence of the gas-surface reaction, as well as performing numerical simulations to determine
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for downstream tasks. In this project, you will develop novel unsupervised machine learning methods to analyse cardiovascular images, primarily focusing on MRI. In your research you will train models to learn a
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A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on Data Science for Construction Productivity. The researcher's responsibilities will include
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no research. We propose to leverage state-of-the-art techniques to measure how young brains track information content within screen media in real-time. The project will involve collecting and analysing EEG
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to analyse cardiovascular images, primarily focusing on MRI. In your research you will train models to learn a distribution of normal cardiac anatomy and function (including motion) from healthy subjects. By
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Fixed-term: The funds for this post are available for 3 years. A doctoral studentship is available in the forthcoming Aspirational Computing Lab (February 2026) in the Department of Computer Science
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). The postholder will be responsible for co-ordinating and delivering the SleepBoost intervention. They will collaborate with a second Research Assistant/Associate (Speech and Language Therapist), who
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Grundstufe (prae doc) is € 3.714,80. Please note that the advertised Completion Fellowships are for 30 hours/week VwGr. B1 (prae doc), with relevant work experience determining the assignment to a particular