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Field
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point here is how digital technologies, particularly artificial intelligence (AI), are transforming the way knowledge is created and disseminated. Future postholders’ research should fit within this scope
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of Electrical and Computer Engineering (ECE) at Aarhus University, a dynamic and growing department committed to excellence in research, education, and innovation. This position is anchored within the Signal
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, Shanghai, China - Number of Openings: 3-4 Research Directions Research Project: Brain-Computer Interface and Neuromodulation Technology for Clinical Applications Research Goals: Establish specific
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responsibilities are organized around three key pillars of research in the digital world: Cognitive modeling: Applying state-of-the art cognitive modeling approaches to decision making data from online news
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record in the development of multi-channel digital signal processing in optical communications, and particularly the compensation of non-linear effects from all sources. An ability to learn new techniques
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, bioinformatics, signal processing, machine learning, and related fields are encouraged to apply. The fellow will play a key role in advancing the objectives of the R01, contributing to the development
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
1 Mar 2025 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Mathematics Researcher Profile Recognised Researcher (R2
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-channel digital signal processing in optical communications, and particularly the compensation of non-linear effects from all sources. An ability to learn new techniques quickly is highly desirable and
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recruitment and analysis of a study examining how digital technology can diagnose COPD, including grant writing. We are looking for someone with a background in computer/data/mathematical science to be
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grant writing. We are looking for someone with a background in computer/data/mathematical science to be dedicated to a project to deliver digital technology, to predict lung health using individual level