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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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“Decoding faba bean yield stability: From in-field image data to mechanistic models (DIGIFABA)”, which is financed by Novo Nordisk Fonden. Start date is (expected to be) 1 October 2025, or as soon as possible
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the synchrotron-based imaging technique Dark-Field X-ray Microscopy and together we utilize it to visualize the evolution of internal structures in metals during plastic deformation, i.e. changes in shape due
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’ at BMB and the ‘Danish National Mass Spectrometry Platform for Proteomics and Biomolecular Imaging’ (PLATO), which provides a highly international, collaborative, ambitious and innovative research
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of state-of-the-art imaging technologies, high resolution single cell data sets that will be established on non-trial samples. The PhD will include bioinformatic support from internal and international
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DTU Management’s Management Science division. The project is led by Professors Stefan Ropke and Richard Lusby and involves international collaboration with leading researchers in machine learning and
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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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of electron microscopy imaging and spectroscopy to reveal the structure–property relationships that govern molecular adsorption mechanisms. This interdisciplinary project is fully funded by DTU’s PhD grant
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, you will join the Power-to-X and Storage (PtX) section within the Power and Energy Systems (PES) division. The PtX section combines multidisciplinary research in energy storage and flexibility, digital
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Mass Spectrometry and Systems Biology research unit’ at BMB and the ‘Danish National Mass Spectrometry Platform for Proteomics and Biomolecular Imaging’ (PLATO), which provides a highly international