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topologies, identify suitable topologies for detailed modelling, and collect data to enable future comparison of the modelled polygeneration systems with regards to the three core elements of sustainability
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-clinical models. They will coordinate and participate in network collaborations to investigate tissue-resident immunity and protection against challenge. They will work closely with an experienced graduate
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for this devastating paediatric brain tumour. The ideal candidate will have experience in neurobiology, immunology, or cancer research, with expertise in working with preclinical glioma models. They should be proficient
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-economic analysis complexity and functionality of the tool in co-operation with the ORE Group techno-economic model development group. Project Title: MaREI Post Duration: 12 Months Salary: €53,770 - €58,479
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for the analysis of nonlinear phenomena in adaptive dynamical networks with applications to restoration ecology. Adaptive dynamical networks are mathematical models of coupled systems where both the systems
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the SEAI funded A-Team project led by Tidal Energy developer ORPC Ireland Ltd. On both projects the successfully candidate will be expected to undertake hydrodynamic modelling to assess the resource
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available in the maternal and newborn electronic health record. The datasets will be used to develop models required for early prediction of brain injury associated with CP and to identify the features
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of findings across project work packages, contributing to the development of assessment frameworks, modelling inputs, and design optimisations. • Prepare scientific manuscripts, project deliverables, and
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activity in inflammatory bowel disease and test the isolates in pre-clinical models. Prior experience with culturing of anaerobic bacteria is essential for this position. Project Title: Characterising
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consequences of preterm delivery and caesarean section. The programme is highly interdisciplinary, combining preclinical animal models with molecular and cellular biology, biochemistry, and behavioural science