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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
and AI agents, and finally (c) designing specialized interactive multimodal multi-lingual natural interfaces. Applicants must have a PhD, MD, DDS, or equivalent advanced or terminal degree from a
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work especially the real-time interaction among humans and between humans and a remote environment. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/296470/phd
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 1 month 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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dedicated methodologies tailored to paintings remain underdeveloped. This PhD project aims to create interactive visual analysis frameworks and methods that enable reliable, interpretable exploration
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effectively to human operators, with an emphasis on immersive visualization and AR/VR-supported inspection and training workflows. An important component of the PhD research involves studying how users interact
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We are seeking creative and energetic candidates with strong experience in multimodal machine learning and human behavior analysis and modeling for a one-year Postdoctoral position. Using recent
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group in Utrecht University, which focuses on multimodal computer analysis of human behaviour. As a PhD candidate, you will be part of a vibrant inter- and transdisciplinary research community
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for collaboration, and establish partnerships that strengthen research outcomes. About You Qualifications: PhD awarded within 3 years in business administration, computer science, information systems, data science
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Postdoctoral Researcher to join our group at ICTER IPC PAS The position inlclude work upon project entitled “Ultra-high-throughput multimodal single-microbe profiling to study microbiomes”, financed by the NCN
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Job Purpose To make a contribution to an ERC-funded project Dynamic network reconstruction of human perceptual and reward learning via multimodal data fusion, working with Prof. Marios Philiastides