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, industry/EPA workshops, funded conference travel and short visits to partner labs Access to state-of-the-art modelling suites, class-1 monitoring equipment and the citizen-science platforms Position 1
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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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regression methods (e.g., fixed-effects growth curve models, staggered difference-in-differences) to analyse post-divorce economic trajectories. Synthetic control methods may be employed to establish causal
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the predictions of opaque models that are widely deployed in high-stakes decision making scenarios. Of particular interest to this project are example-based explanation methods that use individual data points
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, flexibility becomes an essential feature, driven by the development of flexible components and open networks. Development of Digital Twins, capable of building dynamic models from information gathered form live
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-scale view of online interpersonal relations, enabling a more nuanced investigation of biases in information diffusion, polarization, and echo chamber effects. To harness this information, novel models
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to forward a copy of your CV along with your academic referees. Informal enquiries to:Colin.clarke@nibrt.ie or niall.barron@nibrt.ie Funding:Annual stipend of €25,000 plus fees for 4 years.Project 2: Model
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evaluation of their efficacy to mitigate the negative impacts of T2DM on osteoprogenitors. The PhD candidate will establish and validate an in vitro model, screen new therapeutics using that model, then
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this project, using extensive primary cell culture, molecular analysis, scRNAseq, non-invasive imaging analysis, along with mechanistic studies using 2D/3D culture models, we will dissect the distinct cellular