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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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To be a doctoral student means to devote oneself to a research project under supervision of experienced researchers and following an individual study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required. The research group The research group led...
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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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Geography with a focus methane cycling in Arctic stream networks. Start date is 2025-05-01 or as agreed. The application deadline is 2025-03-01. Welcome with your application! Project description River
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on responses of river network carbon processing to climate stress. The position is for four years of full-time doctoral studies. The employment starts in August 2025 or according to an agreement. The application
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implementations of massively distributed embedded systems that interact with each other and their environment to enable secure, goal-driven, autonomous and evolvable solutions. This includes software-defined SoS
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. The task is to understand phenomena like “model collapse” and implementing strategies to avert it, using tools from the Systems and Control field. Wallenberg AI, Autonomous Systems and Software Program (WASP
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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