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policies is new territory. The two doctoral researchers will drive this forward from these two complementary angles and will work closely together to integrate both into a single algorithm: Developing theory
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The activities focus on the development
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research project aims to develop a covariant
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Università degli studi di Roma Tor Vergata Dipartimento di Biomedicina e Prevenzione | Italy | 2 days ago
BRAINFEDERATION, the appointee will support the development and evaluation of reinforcement learning algorithms and bioinspired computing architectures for adaptive neuromodulation, under the scientific
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quantitative, experimental, and computational approaches, leveraging powerful machine learning algorithms and extensive characterisation techniques. This research project will be carried out at University
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Development, implementation, and validation of advanced machine
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project aims to develop multimodal control
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. Develop and maintain simulation and experimental platforms for the evaluation of satellite communication and positioning algorithms, with a strong emphasis on MATLAB-based physical-layer simulations and
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-efficient wireless power transfer system using RIS-enabled beamforming and optimized power management algorithms to ensure sustainable monitoring. Specific tasks include: i) Develop a RIS-enabled SWIPT
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learning algorithm using the outcomes of tasks 1 and 2, and prepare evaluation reports for this algorithm in benchmark reinforcement learning environments. Maintaining source code of the training pipelines