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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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Health Tech’s expertise can be described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural Technology. Our
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. Developing a computer model (“digital twin”) that link physical experiments with advanced control and operation strategies. The model will be utilized for techno-economic investigations regarding flexible
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tomography, digital image correlation, TGA, isothermal calorimetry, R3 testing, and XRD is advantageous Thermodynamic modelling skills are advantageous Life cycle assessment skills are advantageous
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Job Description Do you want to shape the future of healthcare in the era of digitalization with a focus on scientific research? Then we have the right opportunity for you. We are looking for a
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research center and two companies. The project has partners from eight different EU countries. All 15 Ph.d. projects are within the overall theme of neuromorphic computing and analog signal processing
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of neuromorphic computing and analog signal processing, targeting applications in the fields of communication, sensing, geolocalization, space and biomedical. This Ph.D. project will take place at DTU Electro
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Kontogianni. Our research explores how intelligent systems can perceive, understand, and interact with the 3D world. We develop new methods in computer vision, machine learning, and multimodal 3D
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of the project is to bring about a paradigm shift in the design of switchable materials, by delving into the uncharted territory of f -element valence change (VC). The VC materials will be constructed using rigid
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Job Description Do you want to help build the digital backbone of the green energy transition, while protecting data security and privacy? We invite you to apply for one of the two fully funded, 3