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: Specialization 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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Job Description In this project, you will develop new ways to study cancer using Magnetic Resonance Imaging (MRI) of various nuclei. The studies so far have been using Positron Emission Tomography
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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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thermochemical TES. Your main supervisor will be Prof Adriano Sciacovelli and you will join the Thermal Energy Section at DTU Construct. Your work will contribute to a paradigm shift in how complex TES systems
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-XFEL and ESS for advanced materials studies and is host for the 3D imaging center Plasma Physics and Fusion Energy working in international collaborations on realizing non-fossil-based energy
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described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural Technology. Our technologies and solutions are developed
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innovative services and products which benefit people and create value for society. DTU Health Techs expertise spans from imaging and biosensor techniques, across digital health and biological modelling
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TotalEnergies. You will be enrolled in DTU’s Section for Oceans and Arctic and assume a dual role: (1) Systems Engineer able to design and prototype an integrated in‑situ observing platform that supports marine
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predictors in an efficient closed loop paradigm, to optimize the fitness as well as the information gain in each cycle. Responsibilities Propose AI models for an integrated approach for binder design, using
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Job Description Join our interdisciplinary team developing state-of-the-art 3D X-ray microscopy for life science applications. ‘Seeing is believing’, therefore at the DTU 3D imaging center we