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of Informatics. You will be part of Visual Intelligence and the DSB group. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/293458/phd-research-fellow-in-deep-learning
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renowned and ranked first in UK research for computer vision and audio-visual AI, enabling award-winning technologies for content production in TV, film, games and immersive entertainment. In 2021, CVSSP
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transform visual information. We use large-scale electrophysiology and closed-loop visual experiments with macaque monkeys to discover the principles underlying cortical computation. We are seeking highly
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cross–work package integration, particularly in developing tools for blue–green infrastructure policy and decision-making. Perform quantitative and qualitative data collection, analysis, and visualization
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the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the
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. You will be part of Visual Intelligence and the DSB group. For more information about the position see https://www.visual-intelligence.no/about/open-positions . We expect that you will engage in
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environment. The fellow will conduct research into the design and implementation of interactive visual analytics and data visualization approaches for 2-D and 3-D tissue imaging date based on human-in-the-loop
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for drone swarms. The role will focus on multi-agent visual perception techniques. Group website: https://personal.ntu.edu.sg/wptay/ Key Responsibilities: Develop signal processing and machine learning
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of the certificate is mandatory for signing the contract. More information can be obtained at: https://www.dges.gov.pt/pt/pagina/reconhecimento?plid=374 . ELIGIBILITY OF CANDIDATES: Without prejudice to the applicable
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of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the position see https://www.visual-intelligence.no/about/open-positions . We expect that you will engage in