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. Processing and analysing imaging datasets using custom scripts in MATLAB and/or Python. Integrating imaging with complementary techniques, such as electrophysiology, optogenetic stimulation, or behavioural
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research and education towards the integration of advanced medical image computing for supporting computer-aided disease diagnostics and intervention planning. Responsibilities and qualifications In
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At the Faculty of Engineering and Science, Department of Materials and Production a position as PhD stipend in Muscle Neuromechanics and Ultrasound Imaging, within the doctoral programme Materials
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and to users Validating predictive models in close collaboration with clinical partners, and interfacing image-based models with other modalities Writing and presenting scientific work at top
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setting. Conduct process simulations using tools such as Aspen Plus, COMSOL, or equivalent software to predict system performance. Collaborate with engineering companies to develop a prototype carbon
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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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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