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Field
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the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes
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machine learning techniques to develop local graph representation models, which will be aggregated globally to enhance their predictive power and translational relevance, all while maintaining strict data
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. The research will involve both empirical and methodological contributions: Developing automated frameworks to detect and analyze cross-platform data flows using network measurements, static and dynamic app
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systems. These elements will support onboarding, enhance team efficiency, reduce reliance on system experts, and accelerate software maintenance and development. This will require an understanding of how a
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and the laboratory. You will be technically competent, and happy to develop your skills using a range of scientific equipment, measuring devices, and associated software. Some of the equipment commonly
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-Angle X-ray Scattering (GIWAXS) and others) Contribution to the scattering data analysis and support of data/metadata formats developed in the group Integration of the developed software
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Do you want to participate in establishing a global digital laboratory for microbial genomics? And do you see yourself as a team player who can strenghten our collaborations nationally and
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industrial partner, this project aims to develop a novel modelling and analysis approach to address the mathematical and technical challenges of the fluid-structure interaction (FSI) mechanisms globally
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projects, international collaborations, and experimental campaigns using software-defined radios and UAV operation platforms. The project offers mix of theoretical development, simulation-based research, and
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possible thanks to a 2-million-euro grant from the European Research Council. Background: Globally, climate change already manifests via physical risks – damages from floods, storms, wildfires, heatwaves