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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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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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CO2 capture from the atmosphere. Your objectives will include to: Develop new optimization and/or machine-learning based reconstruction and segmentation algorithms to improve image quality in time
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are: Experience with programming in Python Experience with image processing and analysis Experience with machine learning including deep learning The primary activities of the position will be to: Organize and
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, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted
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The project involve conducting high-quality research at the intersection of thermo-fluids science, AI/machine learning and optimization. We envision that: You have an open mind and can think creatively in
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The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we, together with Lonza Cambridge, UK, are seeking a highly talented and