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Field
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Automation group will develop novel machine-learning based control algorithms that allow for real-time adjustment of OSA therapy. The main challenge is to develop robust machine learning algorithm which can
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required You will hold a PhD in Algorithmic Game Theory, Computer Science, Operational Research, Mathematics, or a related discipline. You must have evidence of a developing research agenda with a developing
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Spectrum Innovation Center. The primary project will involve developing system models for radio frequency spectrum allocation, coexistence techniques, and dynamic spectrum sharing approaches that integrate
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. The Postdoctoral Associate will apply his/her technical skills toward development and implementation of machine learning, computer vision, and other algorithms for analysis of medical images and prognostication as
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contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will be working primarily with
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contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will be working primarily with
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data and the algorithms need to comply with local legislation. We seek a postdoctoral researcher who is interested in Developing Data-driven control solutions for medical mobile applications. Investigate
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heatlth monitoring. The Associate will develop machine learning algorithms for detecting events of interest and their classification thus to avoid emergencies, prioritize repair and maintenance and plan
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. The primary project will involve developing system models for radio frequency spectrum allocation, coexistence techniques, and dynamic spectrum sharing approaches that integrate technical, economic, and
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generally to develop new distributed edge services. The successful candidate is expected to evaluate metrics such as latency, throughput, availability, and resilience in different applications scenarios