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world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and
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representation learning. Programming skills (e.g., Python) and experience with deep learning frameworks (e.g. PyTorch) Interest in applications to ecological or biological networks Good analytical and
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/id/101227712 ). The project focuses on the development of Acoustic Black Hole (ABH) technologies, an emerging concept that enables efficient damping of vibrations and sound while reducing mass and
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/id/101227712) . The project focuses on the development of Acoustic Black Hole (ABH) technologies, an emerging concept that enables efficient damping of vibrations and sound while reducing mass and
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working environment. We are proud of our long tradition of good social relations and collaboration among colleagues. The Aalborg area has a high quality of life and work/life balance. There is a lively
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design and operation of the offshore power supply system. Join this exciting academia–industry collaboration to reduce emissions from idling vessels anchored between operations and help shape a scalable
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Model of Denmark with AI based methods. You will have particular focus on the development and operation of real-time simulations and forecasting, and a central responsibility of the position is to
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solutions that combine low energy consumption with reliable and safe operation in compliance with relevant standards and regulatory requirements. A key scientific challenge addressed in this project is the
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. The ideal candidate should be interested in combining theoretical modelling with experimental validation and should be comfortable working in an interdisciplinary and collaborative research environment. Good
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qualifications: Good understandings on recycling/production processes, as well as production system design; Rich experience of programming and working with AI, robot, or IOT; Ability to work independently and