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About the MSCA project MICROSUNSET is a Marie Sklodowska-Curie Actions Doctoral Network (MSCA-DN) funded by the European Union, in which we have 12 open positions for Doctoral Candidates (DCs). We
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and optimization methods for Earth observation satellite networks with sensing, computing, and communication capabilities. The goal is to characterize the trade-offs between sensing accuracy, computing
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applications. Grid-interactive efficient buildings rely on emerging digital and cyber-physical systems to optimize HVAC operations for both energy efficiency and demand response. While Model Predictive Control
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. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security
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learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI
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on constrained platforms using techniques such as model compression, quantization, and hardware-aware neural network design. Investigating mechanisms that protect the integrity and reliability of deployed AI
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lightweight AI models suitable for real-time execution on constrained platforms using techniques such as model compression, quantization, and hardware-aware neural network design. Investigating mechanisms
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on holistic understanding from regional net-zero. The PhD project is part of the Regional Energy, Carbon and Land Management initiative, focusing on optimizing energy infrastructure, land use and carbon flows
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, Metabolic Engineering, Sustainability, Food Systems Offer Description MSCA Doctoral Network Building Predictive MultiScale Framework for Single Cell Protein BioSolutions (FrameBio) - HORIZON-MSCA-2024-DN-01
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participate in an international team in an EU-funded Doctoral Network project called SiCPIC. The project consists of 15 PhD students at 5 universities and one company. The project has partners from five