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research approach is based on classical chemical engineering tools combined with formulation expertise and projects are often carried out, inspired by or in close co-operation with industrial partners. We
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. You will work under the supervision of Prof. Francisco C. Pereira, Assoc. Prof. Carlos Lima Azevedo (DTU), Dr. Biagio Ciuffo and Dr. Georgios Fontaras (JRC). You will work on research focused
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student to work with SERS for monitoring infections in wound samples. We will target the detection of bacteria in wound samples. We offer a highly creative, collaborative, and ambitious work environment
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thus including sensing systems, tool condition features selection, algorithms for automated signal preprocessing, feature extraction and decision making based on ML and AI. An integral part of
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cutting-edge data science? And would you like to be part of a newly formed research collaboration between DTU and Novo Nordisk? Then you could be our new Postdoc. Read on to learn more! About the PhD
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. Responsibilities The role in AM2PM, an EU funded research project, involves conducting innovative theoretical and experimental research in Building Information Modeling (BIM), Digital Twin Construction (DTC
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understanding different kinds of extreme meteorological events and how these may impact wind energy based power and energy systems. As well being involved in research projects you will take part in highly
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Job Description This project is part of a new collaboration with the University of Queensland (Australia) and the pharmaceutical company, Astra Zeneca (Gothenburg, Sweden). All three groups (DTU, UQ
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. Your work will focus on developing physics-informed AI methods to enhance decision-making in design and operation of next generation thermal energy storage systems, such as latent heat TES and
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Software Defined Vehicles (SDV). The primary objective is to expand, mature, and industrialize a novel European RISC-V automotive ecosystem that enables next-generation high-performance European automotive