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Responsibilities Conduct and disseminate research on human-computer interaction, with interest and focus on considering learning aspects in design; or in educational technology with interest and focus on interaction
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communication needs. The UK 5G network market size is estimated to reach revenues of US$ 2,657.6 million by 2030. The rapid emergence of fully intelligent and automated systems is, however, anticipated to
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similarity. This exploration goes beyond representations generated by computer vision and investigates broader methods for establishing dynamic and meaningful groupings of images. Such groupings may be
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phylogenetic and adaptive signals, providing a rich fossil record for evolutionary studies. This project integrates fossil and extant data using morphological phylogenetics and advanced tip-dating methods
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Hiring Range $62,000 - $65,000, dependent on experience Proposed Start Date 02/02/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
Proposed Start Date 01/01/2026 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Lattice Boltzmann (LB) method is gaining strong interest in
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the framework of the ANR EmergeNS whose aim is to understand, through mathematical and computer models, the role that autocatalysis, multistability and spatial heterogeneity may have played in the emergence
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. Strong organizational skills and experience managing complex datasets. Specific Requirements Relevant computer skills: Advanced expertise in psychology and brain imaging analysis methods and software
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to support a circular bioeconomy. We are seeking a highly motivated postdoctoral researcher to develop and apply machine‑learning and data‑science methods, with a focus on computer vision, to enhance wood