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conducted in collaboration between Linköping University (LiU) and Lund University (LU). Read more here: https://elliit.se/project/machine-learning-for-sensing-in-distributed-wireless-systems/ Distributed MIMO
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 23 hours ago
, and approximation algorithms. The successful candidate will be expected to deliver a course similar to the outline presented here: https://www.utsc.utoronto.ca/~bretscher/c63/lectures.html
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the algorithmic capabilities of intelligent systems, reducing their computational costs, and bridging the gap between hardware and algorithm design. Duties and responsibilities The appointment as a postdoctoral
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industry and international partners. For more details, please view https://www.ntu.edu.sg/atmri . We are looking for a Research Engineer to conduct research on air traffic management (ATM) algorithms and
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. Expertise is required or highly desired in one or more of the following areas: algorithms, analytical derivation, data analysis, coding, or mathematical modeling. Strong programming skills are highly desired
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· Computer Science (System, Computing Theory, Algorithms) · Rank: Associate professor or Assistant professor 2. Energy AI · Artificial Intelligence, Data Science · Rank: Associate professor or Assistant professor 3
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The new International Centre for Neuromorphic Systems, at The University of Manchester is hiring a Research Associate/Fellow for a two-year full-time role in Neuromorphic Systems (Algorithms). Ideal
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in applying experimental techniques to experiments at the LHC, in particular the use and operation of ultrafast time-of-flight detectors and exclusive production selection algorithms based solely
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satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https://wwwen.uni.lu/snt/research
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training datasets; Design and carry out laboratory experiments to produce representative experimental training data; Develop physics-informed machine learning algorithms, trained on both numerical