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24 Apr 2024 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Computer Science Research Field Computer science Researcher Profile
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26th May 2024 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate within AI and Big Data Apply for this job See advertisement This is NTNU NTNU is
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3 Mar 2024 Job Information Organisation/Company Eurac Research Research Field Computer science Researcher Profile Recognised Researcher (R2) Country Italy Application Deadline 18 Mar 2024 - 23:00
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to develop strategies that lead to Net Zero requires that the relevant data is combined together to form big data sets that can be used in machine learning. Large data sets are stored in a variety of
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of Big Data and remote sensing in animal management, is revolutionising the way we understand animals, their interaction with the environment and, crucially, how we farm sustainably. In
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Investigating digital technology and the role of AI and big data in product development | Worldwide | 20 days ago
Investigating digital technology and the role of AI and big data in product development This is an exciting opportunity to join a team in a flagship University of Exeter research centre (London
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Critical transport infrastructure, play a key role for the seamless functioning of our societies. Several assets are approaching the end of their design life, whereas at the same time are subjected to ever-increasing traffic loads and natural hazards that are aggravated by climate change. To...
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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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PhD Scholarship in Big Data and Analytics for Crop Genetics Modern agriculture and biomedical research are driven by the availability of big data and the development of data science. The recent
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statistical methods are not suitable for big data due to their certain characteristics: heterogeneity, statistical biases, noise accumulations, spurious correlation, and incidental endogeneity. Therefore, big