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Conway Institute of Biomolecular & Biomedical Research | Dublin Bar, Leinster | Ireland | 3 months ago
, Ireland. University College Dublin is ranked within the top 1 % of higher education institutions world-wide. The project aims to develop three-dimensional in vitro drug discovery pathophysiology models
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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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-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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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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numerical models of each system in terms of heat transfer and groundwater flow. These calibrated models will be then used to evaluate potential optimised system configurations to gain more heat from the same
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methodologies, modeling, and technologies to enhance infrastructure resilience against emerging threats, including climate change, cyber risks, and natural disasters.Candidates with backgrounds in engineering
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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
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systems. The project is located at the nexus of software platform and application development, with a strong reliance on advanced model-driven development technologies, formal methods, and data science
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quality Coasts and climate change Natural Capital and Ecosystem Services Environmental Systems Modelling Health, wellbeing and climate change Climate change policy and governance Applications in research
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social sciences, statistics, or equivalent). The study provides training in applying advanced statistical methods (such as Structural Equation Modelling, Latent Class Analysis and/or Multi-level Modelling