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Job Description DTU Electro invites applications for a PhD position in digital signal processing and machine-learning-enabled continuous-variable quantum key distribution (CV-QKD). The position is
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. The candidate will also carry out 3-month internship at the European Broadcasting Union (EBU) in Geneva. Your competencies You have a strong profile within computer science, computer engineering or similar, and
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have a strong profile within computer science, computer engineering or similar, and have an interest in media deliver infrastructure, including Edge and Cloud computing We expect: A Master’s degree in
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to carry out a PhD project within the umbrella theme ‘Small Island entrepreneurship and digital transitions’. This position is part of the Marie Sklodowska-Curie Doctoral Network (MSCA-DN) programme
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Imagine a world where food production is in harmony with natural processes, farmers nurture healthy soils, and biodiversity thrives. In contrast, current monoculture farming systems undermine
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control of soft robotic systems. The research will focus on developing simulation and digital twin frameworks for soft and continuum robots, integrating advanced sensing technologies for shape and force
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with expertise in digital signal processing methods, and machine learning methods for amplitude and phase noise characterization of optical frequency combs, recovery of dual-comb measurement signals and
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interpreting 3D point clouds. Specifically for the purpose of deconstruction and material extraction, such a map needs to additionally contain the identification of valuable materials for extraction as
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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