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on developing and demonstrating a modular, containerized fuel cell system capable of dual-fuel operation with either hydrogen or methanol. The system aims to provide electrical power to critical infrastructure
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and operation of building HVAC systems, these technologies support both energy efficiency and flexible demand objectives. Model predictive control (MPC), which involves physics-based building energy
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formulation, characterization, and performance testing of packaging systems in food applications. This PhD project aims to develop, characterize, and validate bio-based food packaging materials derived from
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laboratory experiments to analyze microplastic release and chemical leaching. Performing hazard and risk assessments based on experimental findings. Contributing to the development of an SSbD strategy in
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release and chemical leaching. Performing hazard and risk assessments based on experimental findings. Contributing to the development of an SSbD strategy in collaboration with a major European footwear
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
feedback, and real-time agent-based simulation for guiding optimal work performance. Following smart serious gaming approaches, novel artificial intelligence forecasts human behavior and provides active
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, which aims to revolutionize solvent-based capture by developing an AI tool to screen over 1 billion solvent formulations. Top candidates will be selected based on performance criteria such as absorption
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. Responsibilities and qualifications Environmental factors like humidity and gases impact the performance of electronic devices by causing corrosion, which is influenced by the operating parameters of electronic
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you will break new ground at the absolute forefront of what is possible in safe operation of autonomous agricultural vehicles. These are needed to enable better land use and management. This project
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) at the Technical University of Denmark (DTU) invites applications for a fully funded 3-year PhD position focused on enhancing inter-subject BCI-assisted performance for exoskeleton control in stroke rehabilitation