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electrolysis plays a vital role in the emerging hydrogen economy, yet its performance and cost are still limited by traditional component architectures. There is a clear need for breakthroughs in the design and
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of infection biology research. Key Responsibilities: Design, fabricate, and operate organ-on-a-chip models for intestinal and hepatic tissues. Implement hyperpolarized NMR spectroscopy protocols to monitor
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an autonomous framework for setting up, executing, and optimizing complex electronic structure workflows, ranging from ground-state Density Functional Theory (DFT) to many-body perturbation theory methods such as
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will collaborate with leading scientists and industrial partners to design and optimize next-generation solvent systems for energy-efficient carbon capture processes. Your overall focus will be
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on efficiency, power density, and circuit dynamic response. The research will concentrate on creating novel circuit topologies, optimizing electronic components and revolutionizing their integration and packaging
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-to-transfect cells. You will be responsible for engineering mammalian cells to modify surface glycans, optimize EVs production, and enhance DNA cargo loading and delivery. The work involves designing and
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that facilitate the understanding of spatial profiling in clinical samples. You will work with datasets from our Xenium High-plex Single-cell Spatial Profiling (HSSP) from 10x Genomics and GeoMx Digital Spatial
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to large-scale energy storage systems. Despite their widespread use, these batteries are subject to complex and interconnected degradation processes that can significantly impact performance and lifetime
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At the Faculty of Engineering and Science, Department of Materials and Production one or more Postdoc positions in the area of Optimization and Algorithm Design are open for appointment from April
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the applicant and the Department of Ecoscience. The position concludes after 24 months. Job description The Department of Ecoscience, Aarhus University is looking for a post-doctoral researcher to optimize a