49 natural-language-processing Postdoctoral positions at Technical University of Denmark in Denmark
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in high-speed continuous-variable secure quantum communication using a broadband squeezed-light source and advanced digital signal processing (DSP). Leading the development of lightweight DSP pipelines
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information science Implementations of the Navascues-Pironio-Acín hierarchy In addition, you should have excellent communication skills in English and be able to work both independently and as part of a team. You will
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qualifications are a plus: Experience in audio signal processing or speech processing. Experience in condition monitoring or predictive maintenance. Flexibility and self-motivation are desired skills at DTU. In
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Electronics for biosensing (including analog/digital circuit design and signal processing) Implantable or wearable devices Optical and electrochemical biosensing techniques Experience working in
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tasks. Good communication skills in English, both written and spoken. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally
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at www.man.dtu.dk . If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Application procedure Your complete online application must be
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information processing, quantum optics, or related fields. Strong experimental skills and solid theoretical understanding of quantum information. Experience in continuous variable quantum information processing
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independently and identify solutions proactively Excellent communication skills in English Demonstrated ability to collaborate in a team-oriented environment We offer DTU is a leading technical university
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://www.kemi.dtu.dk/english/research/physical-chemistry/wei-yan-group . You can read more about DTU Chemistry at www.kemi.dtu.dk If you are applying from abroad, you may find useful information on working in Denmark
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-acting sensing of supply and demand, facilitate optimal operation of transport services, and advances learning and evolution in complex environments. The project focuses on six thematic mobility management