37 distributed-algorithm-"Newcastle-University"-"Newcastle-University" positions in Italy
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algorithmic agents, the research explores how automation, predictive modeling, and generative intelligence transform sensemaking, decision-making, and adaptive capabilities. The goal is to develop a framework
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No. 1 scholarship grant for scientific training activities at INFN Structure of Roma for the following research topic: “Development and FPGA Implementation of Neural and Traditional Algorithms
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identification of mechanical parameters using genetic algorithms. The project lies at the interface between applied mechanics, micromechatronics and bioengineering, with potential applications in mechanobiology
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of renewable energy sources, with a focus on wind and photovoltaic plants. Through the integration of meteorological observations, high-resolution numerical models and machine learning algorithms, highly
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clothoid-specific algorithms that generate a speed profile that takes into account the characteristics and properties of the applications, applied to the movement of human arms/hands, human locomotion, and
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a technological infrastructure capable of efficiently integrating edge devices, AI algorithm pipelines for behavioral and postural analysis, and cloud services for centralized data, notification, and
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a technological infrastructure capable of efficiently integrating edge devices, AI algorithm pipelines for behavioral and postural analysis, and cloud services for centralized data, notification, and
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forests, with distributional, ecological and morpho-functional data. Where to apply E-mail candidature.selezioni@dagri.unifi.it Requirements Additional Information Eligibility criteria Eligible destination
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, for the development of embedded algorithms and control systems, paradigms of shared-control and sensory feedback for wearable robots like limb prostheses or wearable devices for assistance and (neuro)rehabilitation
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researcher in algorithmic game theory and/or online learning, working with Prof. Celli at BIDSA and the Department of Computing Sciences. The project studies how multiple machine learning algorithms interact