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community. We are now looking for a Doctoral Researcher in AI and Quantum-Inspired Optimization for Sustainable Energy Systems Are you passionate about developing AI-based and quantum-inspired solutions
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, reviewing and triaging requests in partnership with ITS Automation Solutions Identify opportunities for process re-engineering, optimization, and/or standardization prior to automation For automation/AI
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Post Doctoral Researcher / Senior Post Doctoral Researcher - School of Biochemistry and Cell Biology
: Biochemistry and Cell Biology https://www.ucc.ie/en/biochemistry/ University College Cork is committed to being a fully inclusive global university which actively recruits, supports and retains colleagues from
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optimizing cell-based and biochemical assays for target validation; applying molecular biology techniques to characterize therapeutic antibodies and macromolecular drugs; conducting biostatistical analysis
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in high-tech, medical, and energy systems. Information Modern engineering increasingly relies on data-driven models to describe complex dynamical systems. Scientific machine learning is now enabling a
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candidate will support experimental work related to biogas production, biomass characterization, and process optimization. Tasks will include laboratory-scale anaerobic digestion experiments, analytical
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. - development of supported catalysts; - ink formulation and preparation of catalyst layers; - fabrication of optimized membrane-electrode assemblies and their testing in an electrolysis cell (performance and
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circulating tumor DNA, with comprehensive tissue-based profiling methods such as gene expression analysis, DNA sequencing, single-cell sequencing, and spatial transcriptomics. These high-dimensional data
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/Engineer 3 (RS/E 3) in the Zhu Laboratory leverages state-of-the-art microphysiological systems, imaging technologies, and single cell RNA sequencing and spatial transcriptomics to study host immune
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develops next-generation human disease models and therapeutic discovery platforms by integrating stem cell biology, patient-derived organoids, organ-on-chip technologies, high-content imaging, multi-omics