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Field
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understanding of the interactions between communication, sensing, control, and decision-making in autonomous robotic systems. Experience in developing algorithms for robot navigation, path and trajectory planning
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algorithms to improve the performance of scientific applications Researching digital and post-digital computer architectures for science Developing and advancing extreme-scale scientific data management
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. Preferred Qualifications: Knowledge of Approximate, Local, Rényi, Bayesian differential privacy, and other related definitions. Knowledge of federated learning SOTA algorithms. Knowledge of distributed
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the future? PhD research fellow in "Distributed Optimization and Control of Reactive Power" Apply for this job See advertisement Welcome to USN The University of Southeastern Norway (USN) ranks as the
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corrosion detection in metallic structures. The position focuses on the development, training and validation of artificial intelligence algorithms for multispectral image processing, with the objective
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electromagnetic and thermal simulations. This work will include detailed tissue segmentation from medical images, integration of automatic and semi-automatic segmentation algorithms, refinement of anatomical
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Infrastructure? No Offer Description Mission: Conduct research in the field of quantum computing and its modular and distributed architectures based on cryogenic interconnections and leading-edge error correction
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criteria The candidate must have some experience and a strong knowledge of artificial intelligence (AI) applications of the following fields: nonlinear analysis (gradient flows of probability distributions
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environments. Clean public repositories or released source code from past publications is a strong plus. Algorithmic Breadth: Familiarity with probabilistic machine learning, distributional reinforcement
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award at FOCS 2019. These positions are supported by an ERC Advanced Grant (Distributed Quantum Advantage , 2026–2031) and a QuantERA grant (Quantum Network Algorithms , 2026–2029); in the QuantERA