17 image-rconstruction Postdoctoral positions at Technical University of Denmark in Denmark
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dynamic X-ray imaging, then come to DTU and work with us! We are seeking a full-time postdoctoral researcher to join DTU Compute as part of the Villum Synergy funded project “MathCrete”. This research
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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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, collaborate and disseminate your research at national and international conferences. Responsibilities and qualifications The project aim is to develop a sensor prototype for quantifying dissolved methane at
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Crystallography Physical Metallurgy Experience with synchrotrons or laboratory 3D diffraction imaging is considered as a significant advantage. Excellent English communication skills are also essential. As a formal
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, HPLC, analytical chemistry and image analysis. Self-driven, highly motivated, organized, and responsible individual Team player We offer DTU is a leading technical university globally recognized
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paradigm shift in development of Biologics. A critical challenge preventing this is the current limiting volume of high quality and well-characterized in-vitro T cell immunogenicity data. In this project, we
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for society. DTU Health Techs expertise spans from imaging and biosensor techniques, across digital health and biological modelling, to biopharma technologies. The department has a scientific staff of about 210
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for the globally expanding healthcare sector with its demands for the most advanced technological solutions. DTU Health Tech’s expertise can be described through five overall research areas: Diagnostic Imaging
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the advance of image technology, AI and hydroacoustics we are now in a position to target this problem from a different angle. We here advertise one 3-year postdoc position. The aim is to develop and apply
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tasks will be to: Develop computer vision, image processing and deep learning methods for damage detection of wind turbine blades considering varying conditions such as sunlight, temperature, wind, etc