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Job Description Many industrial processes generate wastewater with small oil droplets stabilized by surfactants, the same goes for accidental spills of fuels incl biofuels and various process oils
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, Department of Civil and Mechanical Engineering (DTU Construct). In this role, you will develop a deep learning–based image analysis framework designed for in-line monitoring of concrete and its constituent
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cellular processes efficiently. This project aims at understanding the formation and functioning of aggregate-forming Archaea-Bacteria partnerships. The project involves working with syntrophic deep-sea
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project, “Mathcrete”, and offers a unique opportunity to collaborate closely with another Postdoc specializing in 3D nano image reconstruction and modelling tools development, as well as other PhDs and
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electroluminescence and photoluminescence imaging, preferably daylight and field-based methods. Proven skills in data analysis, image processing and machine learning. Experience with PV performance modelling, power
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. Currently, BAL is performed manually under image guidance. Navigating the lung’s complex, maze-like anatomy is especially challenging for less experienced bronchoscopists, often leading to missed segments
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an interdisciplinary academic team Preferred Qualifications • Experience with radiating component development from initial concept to prototype validation. • Familiarity with satellite communication system