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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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, embedded systems, advanced implant probe design and signal processing. There are opportunities for students from a variety of backgrounds to work on the following possible projects: Bionic Vision
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Stig Brøndbo 18th January 2026 Languages English English English Faculty of Science and Technology PhD fellow in “LLMs based Knowledge Graphs towards Digital Twin Development in Green Shipping
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., which may be delivered in other digital formats. Regarding the documents mentioned in point III.2.4., as an alternative to delivering a copy, the CV can also indicate the unique digital identifier
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, intelligent vehicles / robotics, acoustics and signal processing, computer vision. Demonstratable experience in applying Deep Learning, using PyTorch, TensorFlow, JAX on real-world sensor data. Experience with
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heart-rate signals. Through collaboration with clinical experts, you will integrate clinical knowledge and combine the developed digital biomarkers with clinical and biomarker data. In addition, you will
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. Regarding the documents mentioned in point III.2.4., as an alternative to delivering a copy, the CV can also indicate the unique digital identifier of the publications, which must be of the handle type (e.g
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | about 21 hours ago
– Innovation and Digital Transition Programme , to be developed at CIIMAR (Interdisciplinary Centre for Marine and Environmental Research), under the following terms and conditions: Scientific Area
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processes and help collectives envision and develop the organisational and digital tools required for broader participation. You will be part of a cohort of 11 PhD candidates from multiple Dutch universities
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of keeping a large inventory of physical spare parts, a digital file of each spare part can be stored online and produced on demand. This will save costs and waste from unused parts while making them available