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outcomes in this age group. Activation of type I interferon (IFN-I) responses are a fundamental component of innate anti-viral immunity, key for activation of early, direct anti-viral protection and later
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will contribute to our ability to understand and predict this critical component of ecosystem function. You will work within group spanning ecological science, engineering, and computer science methods
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critical component analysis, and (iii) development of Automation of ML model and data selection. The applicants should have knowledge of machine learning and optical networks and willing to engage in testbed
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manufacturing using single cell omicsSupervisors: Colin Clarke and Niall BarronAbout the project: The study of cellular biology has been transformed by single cell analysis. Rapid technological advances in areas
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project will address these gaps by employing advanced longitudinal methods and cross-national data analysis to investigate the economic drivers and consequences of grey divorce. The project will explore how
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foster resilience among international protection beneficiaries. The methodology combines desk-based analysis across legal and ethical disciplines, with semi-structured interviews with lawmakers and
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mental health issues, using statistical techniques including network analysis. Naturally, we are seeking a student with a keen interest in the topic of loneliness and/or mental health. In addition
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that these cells could be deployed to control intracellular S. aureus. The project will employ cutting edge technologies (transcriptomics, in vivo infection models, single cell metabolic analysis) to profile
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degree (2.1 +/MSc) in mechanical / civil engineering, acoustics, materials, or related; aptitude for experimental measurements and cost-benefit analysis; creativity in sustainable design General
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nanomaterials. This will be achieved by developing and codifying DES-based routes to key classes of environmentally relevant nanomaterials, including (photo)electrocatalytic metal oxides; phosphate-based