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of guanidinium-containing polymers for mRNA delivery. Polymers with biodegradable backbones will be combined with lipids and mRNA to prepare hybrid nanoparticles to achieve synergistic anti-inflammatory effects
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to develop solutions. To do so, you will apply a unique combination of different research methodologies: interviews and workshops to develop a thorough understanding of the psychological process, experiments
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, that combines diffusion and transformer models, there are clear indications that the analysis of this data can be automated. This will open new avenues in data interpretation and building predictive models
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. OMIECs are a class of materials that uniquely combine the ability to conduct both electronic charge carriers (electrons or holes) and mobile ions. Composed primarily of organic (carbon-based) compounds
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of mountain forests in the Alps. The current position will be part of the Centre for Forest Management in the Alps, and will work in the subproject 4, remote sensing of mountain forest dynamics (Prof. Dr
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inhibitor candidates with high predicted affinity and selectivity. These designs will then be experimentally validated through a combination of affinity binding assays, enzymatic activity measurements
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aims at developing a quantum simulator for open system quantum dynamics using trapped ions excited to Rydberg states. This novel approach features fast interactions combined with long-term stability
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at developing a quantum simulator for open system quantum dynamics using trapped ions excited to Rydberg states. This novel approach features fast interactions combined with long-term stability. This will enable
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-on training and mobility will be available. Our research team is part of the 10kLepGenomes COST Action (chaired by Prof. Niklas Wahlberg, Lund University, Sweden; https://10klepgenomes.eu/ ) and close
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older adults”. This project will use a novel form of non-invasive brain stimulation combined with multimodal techniques to investigate how synchronising brain oscillations at specific frequencies can