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21 Aug 2025 Job Information Organisation/Company Le Mans Université Department LIUM Research Field Computer science Educational sciences Researcher Profile Recognised Researcher (R2) Positions
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of design, computation, and robotics. ARG's research interests include topics such as robot learning, human-robot interaction, Generative AI, computer vision, closed-loop control, extended reality (XR), and
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independently but is expected to work well in a large collaborative team with researchers from NREL, academia, other national labs, and industry partners. The successful candidate will be able to: Work safely and
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and studying the phenological migration behavior of small insects using the terra-mobile platform on the Salter Research Farm. Analyze data and summarize results by writing scientific papers
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with photogrammetry, LiDAR alignment, or large-scale 3D data, and deep learning-based 3D vision and graphics • Familiarity with image annotation tools and dataset iteration workflows • Contributions
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processes. A demonstrated interest in data visualization and large-scale data analysis is highly desirable. The ideal candidate will have a keen interest in understanding complex biological systems
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central importance for global trade. Much of it is based on the transportation of goods by large container ships. These are not very flexible due to fixed routes, cause environmental problems and are prone
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involve conducting large-scale data synthesis projects to better understand the drivers of urban metacommunities and biodiversity patterns. In particular, the lab is interested in understanding the drivers
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amenable to therapeutic targeting. This position will involve the application of advanced data science approaches to explore large-scale clinical datasets extracted from electronic health records, with
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place technologies and to develop digital twin algorithms to assist clinicians in developing treatment plans. Analyzes complex sensor data, works with a multidisciplinary team to develop health digital