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student (m/f/d) to conduct research on a DFG-funded project focused on trace fossils, and the evolution of behavioral complexity over the Ediacaran-Cambrian boundary. This project will combine detailed
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neuroinflammation contributes to the progression of Alzheimer’s disease. Specifically, we examine how immune signaling and metabolic changes combine to modulate microglial function, affecting disease outcome. Our
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bottlenecks in data and system management, especially around data quality, metadata governance, and the integration of machine data for long-term monitoring. Through a hybrid approach combining physical models
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requires not only quantification of respective changes in materials but also development of novel tools for design and optimisation of new engineering solutions. This will be achieved by combining
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and innovative methods for predicting metocean data (primarily surface waves and ocean parameters such as currents, temperature, salinity, etc.) by combining advanced numerical simulations and deep
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often fail to preserve the fidelity of combined datasets, leading to loss of crucial information. This proposal aligns directly with the CAMS Data Analytics Theme and the Grand Challenge of using machine
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these challenges by combining advanced metrology, data science, and machine learning to develop predictive models and new standards for recycled plastics. Based at the University of Manchester, in collaboration with
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at the Hitachi Cambridge Laboratory as well as Dr Ljiljana Fruk's team in the BioNano Group at Chemical Engineering and Biotechnology. Improved enzymes will be combined with nanoparticle catalysts and novel
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Group, led by Dr. Florian Kaiser. Within our ERC Consolidator Project “Q-Chip”, you will help us to answer a fundamental key question in quantum technology: how can we combine individual demonstrator
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to be probed by a combination of theoretical analysis and reverse engineering, in particular for operations that involve inputs and outputs in different formats. Currently, this probing must be done