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Field
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Associate position focusing on control systems engineering, artificial intelligence (AI), and scientific machine learning (SciML) applied to nuclear fusion energy. The successful candidate will join the
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the development and optimization of products for a variety of industries from automotive to aerospace made from new bio- and waste-derived plastic resins and fillers. The ideal candidate for this role would be
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or more of the following topics: Cultivation of microalgae for wastewater treatment Processing of microalgal biomass into high-value bioproducts Modeling of nutrient and energy flows in controlled
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: Develop multiscale ABMs of multi-cellular immune cell populations and virus interactions. Design, implement, analyze, and validate agent-based, ODE, PDE, stochastic, hybrid, or surrogate models, selecting
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Thin-film fabrication, processing optimization, and experimental troubleshooting Materials characterization using techniques such as GIWAXS, Raman, FTIR, UV-vis, and electrical transport measurements
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linking: PVD process → thin-film morphology → electrode microstructure → electrochemical behaviour → full-cell performance The two successful candidates will investigate how the morphology and physical
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investigates the molecular mechanisms that regulate epithelial survival, differentiation, cell adhesion, tissue repair, and disease development. Current projects integrate advanced light microscopy, cell and
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pioneered B-cell epitope peptide vaccines targeting immune checkpoint molecules and oncogenic growth factor receptors and is advancing novel multivalent and multispecific vaccine platforms toward clinical
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Post Doctoral Researcher / Senior Post Doctoral Researcher - School of Biochemistry and Cell Biology
of Biochemistry and Cell Biology at University College Cork (UCC). The project is supported by Enterprise Ireland, under the Innovation Partnership Programme, and is in partnership with EIRNA Bio as the industry
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support the optimization of hydrogen storage systems. · PhD in fluid mechanics, energy engineering, chemical/process engineering, or related field · Strong background in Computational Fluid Dynamics (CFD