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Field
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). The successful candidate will contribute to the modeling, simulation, and co-design of next-generation Quantum-HPC (QHPC) architectures, with particular emphasis on integration of quantum and HPC distributed
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developing algorithms for robot navigation, path and trajectory planning, resource allocation, coordination, or distributed decision-making. Knowledge of wireless communication systems, communication-aware
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performance, and data and product quality. You will join the section in charge of sensor performance, data quality, algorithm development, and calibration and validation (Cal/Val) for the ESA EO missions
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. Applications are invited for a full-time Research Assistant in Computer Vision and Machine Learning (Visual-AI) with a particular emphasis on deep learning for anomaly and out of distribution detection. The post
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on developing new generative modeling approaches, scalable training algorithms, and foundation model technologies. The role is suited for candidates with a strong machine learning background who are excited
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) until 31 March 2027 (with the possibility of an extension). The appointed candidate will support advanced research initiatives focusing on systems design, distributed systems, and algorithmic optimisation
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, physical AI, and spatial AI. The RF will contribute to the development of innovative algorithms, data preparation pipelines, and experimental evaluations that are central to the Physical Vision Group’s long
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to architectures, algorithms, and applications. Titled "Exploring Atomic Ensemble Qubits for Distributed Quantum Computing," this LBNL-funded initiative brings together experts from the ESnet, NERSC, and AMCR
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10th August 2026 Languages English English Norsk Nynorsk English PhD Research Fellow in Algorithms Apply for this job See advertisement UiB - Knowledge that shapes society UiB shall be among
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photovoltaic generation, hydrogen production, and storage alternatives with microgrid-driven power distribution. Through advanced modelling and optimization techniques, this research aims to identify optimum