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, but not essential skills for both projects: Proficiency in molecular biology techniques, such as (RT-q)PCR Experience in imaging, e.g., fluorescent microscopy You must have a two-year master's degree
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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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tomography, digital image correlation, TGA, isothermal calorimetry, R3 testing, and XRD is advantageous Thermodynamic modelling skills are advantageous Life cycle assessment skills are advantageous
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for contributing to moving the frontiers of science. Experience with thin film material science, electrochemistry and/or magnetic imaging techniques. Extensive hands-on experience with NV magnetometry, scanning
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to computational tools like RFdiffusion, ProteinMPNN, or AlphaFold. Experience with mammalian cell culture in two and/or three dimension Ability to perform biochemical and imaging methods Strong analytical skills
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Health Tech’s expertise can be described through five overall research areas: Diagnostic Imaging, Digital Health, Personalized Therapy, Precision Diagnostics, and Sensory and Neural Technology. Our
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Tech’s expertise can be described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural Technology. Our technologies
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technological solutions. DTU Health Tech’s expertise can be described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural
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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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for companies to develop new and innovative services and products which benefit people and create value for society. DTU Health Tech’s expertise spans from imaging and biosensor techniques, across digital health