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Department: Human Resources Office Vacancy ID: 035742 Closing Date: 07-Jul-2025 The HR Partnering Pillar includes the recently established HR Partnering model consisting of two HR Partners and the
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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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models, collaborative consumption models, infrastructure needs, social enterprises, financial incentives and systems that could be developed to support and scale-up the transition to the circular economy
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plant molecular biology, restoration ecology and rewilding, palaeobotany and paleoecology, soil science and plant carbon fluxes, global climate modelling with a focus on biosphere nutrient cycles, below
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editing, protein structure and modelling, in cell proteomics, advanced cell imaging, flow cytometry, western blotting/immunoprecipitation, and a range of cell and protein function assays. The successful
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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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growth curve models, staggered difference-in-differences) to analyse post-divorce economic trajectories. Synthetic control methods may be employed to establish causal relationships. Application Procedure
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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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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