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Raman Spectroscopy’ (ACU-SERS), the overall ambition is to develop and mature the new medico devices for therapeutic drug monitoring of patients in treatment for sepsis at the intensive care unit. In the
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by design. The lab also develops AI that runs efficiently on small, low-power devices. The goal is energy systems that are smart, secure, and able to protect themselves. The two stipends are open for
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PhD scholarship in Mid-Infrared Frequency Comb Technology for High-Sensitivity Sensing – DTU Electro
partners. Responsibilities and qualifications Your main focus will be to strengthen the department’s expertise in ultrafast lasers and frequency combs while developing innovative solutions for high
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on numerical simulation of the turbulent urban boundary layer using the transient mesoscale model PALM‑4U. The work involves developing the model to integrate multi‑physical parameters and boundary conditions
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Tech), Technical University of Denmark, for a fully funded 3-year PhD scholarship. In our team, you will combine computational discovery with state-of-the-art experimental validation to develop novel
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for this PhD project consist of combining empirical studies in healthcare environments, such as observations and interviews, with prototype design and development. The project will develop new knowledge on how
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tasks The AI:GeoComm Lab invites applications for two PhD positions, each contributing to the shared goal of developing advanced AI-enhanced atmospheric sensing and communication reliability. The lab
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contribute to the development of background-suppression techniques for single‑photon detectors used in axion experiments, operating at optical and infrared wavelengths. The research project includes
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Job Description We offer you a unique opportunity to join the PlastChain project with the aim to develop a process for chemically recycling end of life plastic waste by gasification to form syngas
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dynamics (CFD) will be developed and coupled with the existing model to account for melt pool dynamics to include advection in the thermal modeling and to predict porosities and imperfection trajectories in