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opportunity to be part of large-scale experiments tackling pressing societal challenges. You'll be involved in every stage of the research process—from experimental design to data analysis and publication—while
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according to mutual agreement. You can read more about career paths at DTU here . Further information Further information may be obtained from Professor Xenofon Fafoutis and Associate Professor Luca
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at the intersection of digital building technologies, data science, and energy systems. By joining our forward-thinking section Digital Building Technologies at DTU Construct, you will gain hands-on experience in
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that also act as green energy producers driving the societal transition towards net zero. In this position, you will build on your expertise in IoT and low-power computer and communication systems to research
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. Quantifying circular economy strategies for wind turbine rotor blades, including reuse, recycling, and feedback loops. Assessing the climate mitigation potential of circular construction materials through data
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design to testing, programming neural interfaces, neural data analysis. We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and
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process modelling, experimental data, model parameters and modelling approaches in order to optimize design, analysis and operation of complete capture processes. The goal of the project is to develop
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, protocols, and data standards across collaborating institutions and scales. This collaboration will support the generation of coherent, high-quality datasets and enable the development of predictive models
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(CIL) and contribute to open-source reproducible research. Together, we aim to push the boundaries of mathematical imaging data science, materials science and digital building technology
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..) Digital Twin & Digital Transformation Development & Deployment of Digital Twins for smart cities, or data infrastructure. IoT-based Data Sources, Big Data Pipelines, & Real-time Analytics. Federated Systems