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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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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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research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in
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models were successfully developed with methods of Quantum Machine Learning. In cooperation with the University partners the aim of this project ls to translate classical analysis and simulation algorithms
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equivalent. Diploma should be recognised by NACID, in case the awarding institution is not Bulgarian. Specific Requirements YOUR FUNCTION *To design, develop, and evaluate AI-based techniques and algorithms
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experimental settings. In addition to fieldwork, the PhD candidate will contribute to the development of novel inversion algorithms for EMI and GPR based on full-waveform inversion techniques. These methods aim
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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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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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, 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
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to the scientific and technological development of the LOTUSIM-Energy simulator and its associated autonomy components. Their main responsibilities will be: - Developing and integrating multi-physics simulation