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of advanced super-resolution microscopy, label-free chemical imaging, fluorescent lifetime imaging, and advanced image analysis. This position is aimed at studying the structure formation of plant proteins
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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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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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: 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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, confocal, super-resolution, and electron: transmission electron microscopy) complementary expertise in image analysis Hands-on experience with epithelial barrier assessment assays (transepithelial
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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
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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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can have a background from experimental and theoretical quantum opto- or electromechanics, nanomechanics, NV magnetometry and imaging, and low-temperature techniques. We are looking for individuals
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PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
to develop new and 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