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focuses on modeling IoT-Fog environments, designing multi-objective optimization algorithms (latency, energy, reliability), and developing strategies for critical IoT applications like smart cities and
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integrating artificial intelligence, from algorithm design to on-sky demonstration. The objective is to design intelligent adaptive optics systems capable of correcting sensor nonlinearities, anticipating
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
algorithms, data models, ontologies, and semantic data harmonization and integration strategies for a variety of translational research contexts, including the following data types: clinical research variables
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learning, large language models, and the theory of deep learning. The candidate will develop DRL algorithms for online and off-line tasks, for robotic applications and possibly for LLM reasoning applications
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . The research associate will focus on Vision-Language Model based situation awareness and decision-making
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processing algorithms for the compensation of non-idealities (equalization, distortion reduction) and beamforming algorithms for audio transducer arrays will be designed. Where to apply Website https
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Experimental Medicine Winter Term (October 19, 2026 to February 10, 2027) Job Description The Experimental Medicine Graduate Program (https://exp.med.ubc.ca/ ) in the Department of Medicine at the University
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devices.Novel decomposition algorithms will estimate motor unit activity during voluntary contractions, together with tools for robust assessment of neural markers of motor unit correlation.A control framework
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, the most promising prediction algorithms will be experimentally compared. In the last four months, tests will be carried out to evaluate the performance of the solution produced and a prototype. Where
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, Purpose of the Job We are looking for one Research Associate to work on the development, implementation and testing of predictive control algorithms for the optimal coordination of available multi-energy