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the spaces, but also behavioural changes, such as changing habits regarding ventilation or heating. The second part will employ secondary data analyses from existing cohort studies to explore the associations
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world. The University pursues world-class excellence in education, research and knowledge transfer to nurture socially responsible leaders and professionals, as well as to drive impactful research and innovation. PolyU
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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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are: to analyse dual-layer heart data to study how the inner and outer layers interact. In particular, we will focus on dissociation (when the layers do not synchronize), and investigate how it contributes to AF
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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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of chemical data. Key Responsibilities: Utilise high data-density reaction/bioanalysis techniques, including high-throughput experimentation, to inform and enhance drug optimisation. Employ machine learning
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are increasingly using self -funded services via pharmacies, getting both medicines and health advice to treat common infections without seeing a doctor. The vast “smart data” that these interactions are producing
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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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literature relating to injury risk mitigation in relation to full-time women’s football. The candidate will also develop a multifactorial approach to monitoring responses to training and match-demands of full