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the design and verification of digital systems, including chip design. Embedded Systems Engineering (ESE) is one of the 10 research sections at DTU Compute. Our mission encompasses the creation of insights
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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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. The PhD project is part of MADE REACT (Resilient manufacturing systems through AI-powered and digitally Connected Technologies), which is a national collaboration involving 23 leading companies, five Danish
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digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design
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Metaverse Lab is to explore and address the challenges and opportunities related to digital technology and virtual environments, and their impact on society, well-being, and economies. Our research is divided
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allocation, start-up/shutdown sequences, and operational planning of PtX systems in response to dynamic market and process conditions. System Integration and Digital Twin Development: Combine experimental
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-driven methods to characterize demand-side flexibility using e.g., by using a set of coupled stochastics differential equations or data-driven digital twins. As a result, we will aim at obtaining a
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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
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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