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with cutting-edge models and technologies—including patient-derived glioblastoma organoids, CRISPR-based screens, mass cytometry, and advanced microscopy—to dissect these complex biological processes
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the Department of Engineering, with a focus on digital twin modelling for marine engines and propulsion systems involving different decarbonisation technologies, as well as the development of AI-driven decision
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modelling to study the causes and consequences of extreme chromosomal instability in these cancers. The role will involve: - Learning and applying cytogenetic methods for generation and analysis of chromosome
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. • To develop and improve theoretical models of fluid dynamics, solid mechanics, soft matter or active matter. • To carry out analytical calculations in the context of theoretical models of fluid
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specialised standard operating procedures. Additionally, candidates should possess expertise in host-pathogen interactions, supported by relevant experimental approaches, models, and analytical techniques
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responsibilities will include: Pre-registering data analysis plans; Leading and conducting advanced statistical analyses (e.g., twin/family designs, genomic and epidemiological methods, longitudinal modelling
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fluorescence-lifetime detection (Fast-FLIM) and temporal focusing. This instrument will deliver quantitative, sub-second imaging of live three-dimensional cell-culture and organoid models, advancing fundamental
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infrastructure enables recruitment of 200-300 severely injured patients annually as part of the ACIT study. We also have a well-established experimental modelling group with full ethical approvals in place for all
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; supervising student projects/practicals. · Demonstrable ability to model experiments using a range of software packages, such as Python, Matlab or Mathematica. · Experience of experimental
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: D1. Skills in animal models Experience Essential: E1. Proven ability to deliver quality outputs (such as publications) in a timely and efficient manner. E2. Experience preparing data for publication