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student will become part of a team at DTU with expertise in digital signal processing methods, and machine learning methods for amplitude and phase noise characterization of optical frequency combs
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. We are part of Quantum DTU — the Center for Quantum Technologies at DTU. Read more about the research in our group here . Responsibilities and qualifications You will find working solutions to major
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) or Machine Learning models. These tools will be integrated with physics-based models of environmental loading (waves and wind) to enhance the accuracy and robustness of the assessment. All components assembled
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and health impacts of footwear materials. This research sits at the cutting edge of microplastic pollution, chemical safety, and sustainable materials design. This PhD opportunity is part of the Marie
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the environmental and health impacts of footwear materials. This research sits at the cutting edge of waste and material characterization, material flow analysis and material recycling. This PhD opportunity is part
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diversity. We are looking for a motivated applicant with good competences in operation research who wants to gain hands-on experience in cutting-edge energy modeling and analysis to be part of the Ports as
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
planning and scheduling. In the furthermore, core works are envisioned in (c) initiating novel VLE design using foundational Digital Twin for Construction Safey (DTCS) components (e.g., city models, nD BIM