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the development of a Virtual Training Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and
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. We aim to push the limits of sensitivity and spatial resolution in quantum metrology using novel schemes while developing robust sensor platforms for real-world applications. As a PhD student in our
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that support spike-based processing and memory-efficient computation using SSMs, targeting edge-AI scenarios in wearables, robotics, or sensor networks. Research area and project description The project will co
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, energetic properties, solvent degradation, and corrosion. You have experience from gas analysis from on-site data acquisition. You must have experience of managing pilot-scale activities, including talking
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from you. This project focuses on sustainable diets for evidence-based public health advice. Diet is a focal point for climate change since food systems are major contributors to greenhouse-gas emissions
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) and Technical University of Denmark (DTU) aims at understanding and designing noble metal clusters in the non-scalable regime to enable exceptional catalytic performance for e.g. methane and ammonia
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gas chromatography. It is also probable that you will use CAD (e.g. for 3D printing), programming (e.g. Python) and MEMS chip design and fabrication. You should therefore have a desire to learn new
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rapidly changing characteristics. Simultaneously, the European energy system is also getting more coupled with other energy sectors like heat, gas, transport and industry. Power systems operating in such a
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include: CMOS-based neuron and synapse circuit design Low-power digital architecture for SNN processing On-chip learning mechanisms Integration with sensor interfaces for biomedical signal processing What
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based on both visual and tactile information. The candidate will be responsible for developing detailed simulation models of both robots, sensors, and components to be assembled. In addition