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by a EU programme Reference Number PEPR-DIADEM Is the Job related to staff position within a Research Infrastructure? No Offer Description The present PhD proposal is part of the project AMMETIS[1
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for Logic, Language and Computation (ILLC). Join Us! Are you looking for a PhD position in the burgeoning field of neurosymbolic artificial intelligence at a thriving interdisciplinary institute in Amsterdam
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teaching duties. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality
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teaching duties. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality
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Programme? Not funded by a EU programme Reference Number PEPR-DIADEM Is the Job related to staff position within a Research Infrastructure? No Offer Description The present PhD proposal is part of the project
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in artificial intelligence tools and technologies are blurring the lines between human and computer generated. In the last few years, we’ve seen a number of online avatars used by various companies
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intelligence tools and technologies are blurring the lines between human and computer generated. In the last few years, we’ve seen a number of online avatars used by various companies to disseminate information
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 8 days ago
of the Cluster IA ENACT project (https://cluster-ia-enact.ai/ ) that is funding this PhD thesis. In the chair, she wants to push the research in Natural Language to assist humans in different scenarios
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vision is also highly appreciated. The candidate must also have strong programming skills (Python, C++) and experience with ROS / MC_RTC (preferred). About MAVRICS The PhD is a part of the activities
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experience and profile MSc in artificial intelligence, statistics, computer science or a related field; Strong background in machine learning and/or statistics; Preferred prior knowledge/experience with