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algorithms within a simulation tool, which is to be interfaced with existing software systems. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079 Requirements
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theory and practical algorithms that move reinforcement learning closer to real-world systems. Position 1 will focus on trajectory-centric optimization, Position 2 on adaptive policies, and both will work
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of models and methods for radar signal processing (including signals from sources of opportunity) for parameter estimation. Where to apply Website https://www.uniroma1.it/it Requirements Additional
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on three main points: 1. Global analysis of the pre-symplectic algorithm for the Palatini formulation of Einstein's equations; 2. Geometric characterization of gauge symmetries as the kernel of the pre
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Università degli studi di Roma Tor Vergata Dipartimento di Biomedicina e Prevenzione | Italy | about 11 hours 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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learning-based algorithms for global quantitative precipitation estimation using microwave radiometric observations collected by satellite radiometers onboard current and next-generation Low Earth Orbit (LEO
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strategies for the safe and adaptive grasping of objects through the integration of tactile information and biosignals. The research involves the study and implementation of algorithms capable of combining
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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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processing and estimation algorithms for positioning, synchronization, acquisition and tracking in high-dynamics satellite scenarios Design, implement and evaluate receiver algorithms using reference and
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influenced today’s widely used AI products. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Postdoctoral Fellow to lead research on AI training algorithms. The role will focus