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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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). Human and environmental exposure modeling (e.g., ConsExpo, Chesar, Vermeer). Proficiency in navigating ECHA databases, and use of chemical safety data (REACH dossiers, hazard classification, exposure
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the department’s competencies in advanced modelling and control of buildings' energy systems, e.g., heating, cooling, and ventilation systems using IoT technologies. You will collaborate closely with academic and
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area is modeling and decision making based on electric brain waves (EEG). Responsibilities and qualifications Your main tasks will be design, implementation and analysis of AI experiments. You should
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enabler that can make it easy to use the huge amounts of available research and company data in the development AI models? Do you wish to work with one of the biggest supercomputers in Europe and be part of
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background checks may be conducted on qualified candidates for the position. The Department of Energy Conversion and Storage (DTU Energy) focuses on research and development of functional materials, components
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to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates
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. Flexible working hours so that the job can fit in with your student life. To be part of the transformational journey of many students. On a more general note, the job as a student assistant requires that you
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. Responsibilities The role in AM2PM, an EU funded research project, involves conducting innovative theoretical and experimental research in Building Information Modeling (BIM), Digital Twin Construction (DTC
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are developed, modelled and controlled. You will create novel adaptative, physics-informed models that tightly integrate thermo-fluid dynamic laws, deep learning neural networks, and experimental data. A key