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-resolved micro and nano X-ray CT imaging of cement mixing processes. This is challenging due to the fast-evolving chemistry in the early mixing phase and low X-ray contrast between mixing and intermediary
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in machine learning and computer vision. Strong skills in developing computer vision and AI models. Experience with thermography or thermal imaging. Experience in data fusion and multimodal learning
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, “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 Postdocs within
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about the faculty here . Bioimaging Core Facility We currently host 15 microscopes: from widefield and slide scanners, confocals, light sheet, TIRF, high-content to in vivo 2-photon imaging. For data
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2) and ensures a smooth transition to partners for later stages of development. By connecting science, innovation, clinical trials, regulatory processes, and product development, NIVI aims
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plant phenotyping pipelines: Pipeline 1: UAV image processing and analysis for shoot trait extraction Development of a versatile software pipeline for processing and analyzing UAV-acquired imagery
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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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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
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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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on aluminum samples processed using different laser powder bed fusion parameters to perform synchrotron experiment to validate the Lab-3DµXRD results to link the printing parameters, the microstructural