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. Nature Physics20, 970 (2024)). You will also work on expanding our coherent imaging methodology to look at dynamics and phase switching in materials at the nanoscale (Johnson et al. Nature Physics19, 215
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
of the highest quality within building design and processes, building construction and safety, building energy and services, solid mechanics, fluid mechanics, materials technology, manufacturing engineering
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motivated PhD student with a background in biomedical or pharmaceutical engineering, biomedical sciences or similar. You will work under the supervision of Assistant Professor Lisa Maria Riedmayr
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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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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
2 Sep 2025 Job Information Organisation/Company Technical University Of Denmark Department DTU Civil and Mechanical Engineering Research Field Engineering » Civil engineering Engineering
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If you have extended experience in imaging and imaging analysis from two- and three-dimension (3D) cell culture and your aspiration is to be at the forefront of system biology and single-cell
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Job Description Are you eager to engineer the next generation of cancer therapies? Apply for a fully funded 3-year PhD position at the Technical University of Denmark (DTU), where you will work in
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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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Job Description If you have extended experience in imaging and imaging analysis from two- and three-dimension (3D) cell culture and your aspiration is to be at the forefront of system biology and
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industrial processes. Your research will drive a paradigm shift in how TES systems are modelled, integrated, and controlled within industrial settings. You will develop novel, adaptive, physics-informed models