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vehicles such as lipid nanoparticles (LNPs) • Create experimental protocols for cancerous, healthy human and microbial model cell membranes. • Establish predictive models for peptide-induced transport
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. Establish predictive modelling frameworks that describe the chemical evolution of carbon, hydrogen, and nitrogen species during ammonia-based fuel combustion. Analyze and quantify pollutant formation pathways
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plague outbreaks in Eurasia between 1300 and 1900 CE. A short description of the project can be found here: https://www.synergy-plague.org/research/introduction/. The project is funded through the European
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contexts. This work will directly support the development of AI models to predict off-target effects across clinically relevant cell types, including primary cells and 3D organoid systems. Responsibilities
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hazards, enhancing asset protection, maritime security, emergency preparedness, and societal resilience. The project will leverage advanced AI and machine learning techniques to enable predictive risk
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processes (attentional control and working memory) that are known to contribute to language learning, 2) if these cognitive and neural predispositions predict individual rate of subsequent language learning
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prototyping, fabrication experiments, development of experimental setups, material testing, design modelling and optimisation, and the preparation of workflows interfacing with robotic and construction
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biomolecules in a cellular society. The reasons for this behaviour remain poorly understood, and outside of some model species, this behaviour itself is poorly characterised. We have recently developed cross
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-working candidate. Main responsibilities Develop and apply machine learning and statistical modeling techniques, including novel AI architectures, for the analysis of complex traits and precision prediction
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the solar system either, is challenging our standard models of planet formation. Our goal is to predict and reproduce the architecture of these exoplanetary systems and the exoplanet properties, including