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We are looking for a highly motivated person to drive research on medical image analysis at the Department of Health Technology (DTU Health Tech). You will join a strong research environment on
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Experience in design of PCBs will be preferred Development of PyQt programs with graphical user interfaces for simulation and control Digital image processing and analysis Preferred languages are Danish and
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of electron microscopy imaging and spectroscopy to reveal the structure–property relationships that govern molecular adsorption mechanisms. This interdisciplinary project is fully funded by DTU’s PhD grant
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Infrastructure". If you have a strong background in managing technical projects, software engineering, and data science, this position offers ample opportunities for conducting cutting-edge health data science on
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recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including
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these intricate immunological processes. Using advanced bioengineering methods and innovative molecular tools, this project aims to: Develop robust 3D skin-on-a-chip models incorporating genetically engineered