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Field
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and progressive streaming; performance and visual-quality evaluation (P50/P95, LPIPS/SSIM, thermal stability and audio-visual drift); software engineering, version control, containerisation
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to generate human, blood-derived multi-omic data. Experience quality controlling and analysing multi-omic biological data. Experience analysing human health and social care datasets. Experience working with
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the project. The fellow will participate in consolidating the databases obtained during the pilot implementation of the platform, ensuring the processing, validation, and quality control of the data collected
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investigate new fibre and surface geometries for flow control and for applications such as water harvesting from atmospheric fog. The physical designs will be partly bio-inspired and will emphasize
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, please refer to the link: https://research.nottingham.edu.cn/en/persons/alain-chong ; Prof. Ying Weng is Course Director for Computer Science with Artificial Intelligence, Professor in Computer Science
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who have seen a vast number of images from the CoCo-database (https://cocodataset.org ); and apply and interpret the architecture to local field potential data recorded in humans who have seen movies
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software PyOPIA (https://github.com/SINTEF/pyopia ) Contribute to the establishment of a stereo camera system for wave measurements at the OceanLab site in the Trondheim fjord Take part in wave flume
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, namely: needs diagnosis and assessment; development of artificial intelligence-based forecasting models; and development of optimal control models. Relevant experience directly in the project’s area – 5
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research funding and ensure that studies under your supervision are implemented in accordance with randomised controlled trial scientific principles, the study protocols, and regulatory standards. You will
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The position will be attached to the project “SURE-AI” (http://www.sure-ai.no/ ) funded by The Research Council of Norway, and lead by Simula Research Laboratory. The main focus of the research will be