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neural networks is highly debated at the moment in all areas of deep learning. In this project, you will work on a theoretical framework which will help to better understand these questions in the context
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-terrestrial networks where communication signals will be linked via satellites. A portion of the communication signals will be reflected from the Earth's surface and can be received by satellites in the same
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-disciplinary and international professional network between PhD-students, researchers, and industry. Main Responsibilities Software is often the root cause of vulnerabilities in modern computing systems. By
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The position gives a unique opportunity for cutting-edge research in multi-layer network security. The project focuses on enabling resilience, security and reliability of upper-layer network
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This is a broad call for five fully-funded PhD positions in computer science and engineering to work on machine learning, autonomous systems, software engineering, formal methods, and network
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learning, generative AI, and multi-objective optimization. Evaluate and select design options based on user-defined parameters such as environmental impact, aesthetic value, and cost. Additionally, you will
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. Integrating commercial multibody dynamics software with in-house tools to predict impact loads. Developing a digital twin based on extensive field measurements to train a machine learning model for predicting
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Join us for an exciting and excellent PhD journey to create the future of maintenance! Explore the fascinating future of Net Zero industries where complex and highly automated equipment need
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or technical writing. Meritorious qualifications: Understanding of urban planning in relation to climate adaptation and traffic management. Experience with advanced hydrological modelling software at catchment
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techniques into the design process to generate value for both designers and end-users. Essentially this project concerns re-defining and re-inventing the future building and HVAC design processes, thus