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Field
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candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development for various hydrogen technologies-based energy systems. Responsibilities
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-economic and labor market dynamics. Modeling, understanding and forecasting migration flows, including dynamics by age and gender, by level of education, and for high-skilled migration, as
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imaging technologies with their current systems, and being involved in the pathway to real implementation in surgical decontamination facilities. This work will also be supported by Business Development
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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling
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topics include synthesis, material science, theory and modeling, device physics, nanotechnology, biotechnology and system design, and span the range from basic research to commercialization. LOE currently
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. Experience in working with animal models, transcriptomics (long read, single cell), multi-parameter flow cytometry, molecular biology and fluorescence imaging will be preferred. We offer an interdisciplinary
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by the CCI are a major contribution to the evidence base used to understand climate change, which drives international action. Climate modellers use the ECVs to study drivers, interactions and feedback
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that are aimed at understanding the mechanisms and treatments of chronic pain in preclinical models. The applicant should have experience working with rodents and performing behavior assays, surgeries, and
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or PostDoc) will deal with the generation of spin and orbital electronic currents for spin–orbit torques in solid-state devices made of light metals, metallic ferromagnets and/or magnetic insulators. In
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across a range of disciplines, with activities that are currently concentrated around three Research Challenges (Sustainable Infrastructure, Future Energy Systems and Advanced Materials, Electronics and