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contactless movement and physiology signals. Specifically, the PhD researcher will develop physiological-model-based artificial intelligence technologies to assess patients’ recovery process, detect or even
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that the programme will combine ideas from a broad range of disciplines, including machine learning, control theory, differential equations, port-Hamiltonian systems theory, modelling of power systems, digital signal
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available for a four-year term as part of the recently awarded ELSA Lab for Technical Industry (ELSA4TI) (funded within the NGF-Call AiNed ELSA Labs). The ELSA4TI Lab is led by Prof Ming Cao, Director of
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the NGF-Call AiNed ELSA Labs). The ELSA4TI Lab is led by Prof Ming Cao, Director of the Jantina Tammes School of Digital Society, Technology and AI. ELSA4TI focuses on the ethical, legal, social and
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institution. At the Center for Interdisciplinary Digital Sciences (CIDS), the Department Scalable Data Analytics and Artificial Intelligence (ScaDS.AI Dresden/Leipzig) offers 2 positions as Research Associate
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domains are e.g., signal-/image processing, artificial intelligence and machine learning. Tasks: research and development in designing and programming field programmable gate arrays (FPGAs) for accelerating
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participate in the training and dissemination events of the MSCA Doctoral Network ANT . You will develop signal processing algorithms and protocols for AirComp, and implement and validate them in simulation
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diabetic cardiac and gastrointestinal remodeling in companion animals” funded by the FEDER (COMPETE 2030) and national funds through FCT/MECI, operation no. 15280, with reference COMPETE2030-FEDER-00894900
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seis-mometers, geophones, etc.), as well as in signal processing, High level of communication and teamwork skills, willingness to travel to the Middle East as part of a team, Structured and independent
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Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing, network resource