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; - Experience with data processing techniques. Desirable knowledge of methods such as Neighborhood Components Analysis (NCA), Locally Linear Embedding (LLE), and t-distributed Stochastic Neighbor Embedding (t-SNE
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presentations; and (c) investigate implementation of the results followed by experimental verification and eventual distribution as open software. As well as the search for new theoretical results, the project
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discriminant models Design and use of autoencoders (VAEs, GANs), diffusion models, and other ML methods for analysing and discovering patterns in probability distributions in latent space. We are not accepting
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to the activities of the SIR-V2G project wich primary objective is to address the challenges arising from the large-scale integration of electric vehicles (EVs) into distribution networks by developing smart
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the Distributed AI for dependable cyberSecuritY (DAISY) Unit, of FBK-CS, which focuses on developing novel AI-driven methods for cyber threat detection in distributed computing environments, with a particular
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programming (Shared and Distributed memory, GPU programming etc.) Demonstrated experience with distributed memory MPI programming Experience with collaborative software design, development, and testing
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& Environmental Sciences (BEES) and the MaREI Centre in University College Cork (UCC). The ObSERVE project aims to provide updated information on the distribution and abundance of marine megafauna in the Irish EEZ
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for this Postdoctoral researcher position will focus on one or more of following key areas, where proof of previous work with experimentally verified results is necessary: - Distributed robotic autonomy for embodied
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simulation methods to target critical performance parameters for satellite quantum key distribution and imaging LiDAR applications. You will develop new process methodologies and fabricate SPADs in the state
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algorithms for entanglement distribution in quantum networks. The purpose of the role is to contribute to the project "Utility Optimization in Quantum Networks: Algorithm Design and Analysis", working with Dr