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of diabetes or similar chronic conditions The candidate is expected to contribute to the planning and execution of the DiaTRUST trial (DOI: 10.1186/s13063-024-08588-7). Therefore, prior experience with clinical
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interaction, particularly in leading participatory research with end-users to develop and validate LLM-assisted interfaces for critical infrastructure monitoring. The PERSIST position at the University
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Computer science » Digital systems Computer science Researcher Profile First Stage Researcher (R1) Country Denmark Application Deadline 7 Sep 2025 - 21:59 (UTC) Type of Contract Permanent Job Status Full-time Is the
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hardware and fluidics. You are expected to: Design and build an automated fluidics system for deposition of chemical reagents with in-situ monitoring of film deposition using quartz crystal microbalance
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Job Description DTU Sustain’s section Waste, Climate and Monitoring offers a 2-year position as a post-doctoral fellow in detection and quantification of fugitive emissions of poly- and
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to collaborate closely with our Danish industrial partners on innovative use cases, including advanced condition-based monitoring in industrial settings and speech enhancement in audio headsets. The appointed
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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
comprehensive quantitative evidence and understanding of their capacity and cost-effectiveness for carbon sequestration under varying conditions. You will be part of a large international research project focused
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the foundations for reliable decision support and Monitoring, Reporting, and Verification (MRV) systems for reducing greenhouse gas emissions in Danish agriculture, particularly exploring conditions for the uptake
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the foundations for reliable decision support and Monitoring, Reporting, and Verification (MRV) systems for reducing greenhouse gas emissions in Danish agriculture, particularly exploring conditions for the uptake
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Monitoring (LTVEM) in the hospital for management and diagnosis of epilepsy. The technology is built on brain computer interfaces equipped with a Spiking Neural Network (SNN) and aims at early detection