42 postdoc-in-thermal-network-of-the-physical-building PhD positions at Chalmers University of Technology
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the training process to several network threats, such as DDoS attacks, traffic hijacking, and traffic analysis. While these risks are well-studied in existing literature, their impacts on distributed AI training
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This PhD project focuses on advancing network security in the emerging Web3 ecosystem. As decentralized applications built on blockchain and distributed ledger technologies become more widespread
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Are you passionate about upgrading housing and building production in Sweden while fostering sustainability, circularity, and resource efficiency? This PhD project aims at investigating how Swedish
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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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technology, building physics, HVAC systems, computer science and control systems architecture, thereby advancing all disciplines involved. The project is a collaboration with Building Services Engineering
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of quick clays. A novel combination of miniaturised thermal-hydro-mechanical experiments and particle level modelling will be pursued to unravel the unique mechanisms that make quick clays so hazardous and
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Join a team with an extensive national and international network in metal additive manufacturing! This PhD position at Chalmers University of Technology is a unique opportunity to develop your
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engineering challenges. Currently, three postdocs and about 15 PhD students are working within our main research areas: Lightweight materials and structures, multi-phase and metallic materials, Process modeling
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Autonomous cyber-physical systems (ACPS) have great potential to improve our ways of life, increasing mobility, cutting costs, and saving lives. Considering the complexity of the environments
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network. This project aims to develop skills for an autonomous mobile robot to perform complex manipulation tasks. Our goal is to enable continuous learning, allowing the robot to improve over time by