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Field
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training, and interactions among autonomous entities can lead to vulnerabilities. These concerns are amplified in decentralized AI and multi-agent systems, when multiple parties (e.g., human or agent) might
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reporting of flood events. Using GIS, AI, and time series analysis, you will reveal how climate risks and housing dynamics intersect and how patterns may evolve under climate change. Leicester and
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monitoring. Responsibilities Drive forward the department’s analytical and statistical expertise in remote sensing, LiDAR, AI tools, GIS, and spatial modeling. Take a leading role in developing digital tools
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monitoring. Responsibilities Drive forward the department’s analytical and statistical expertise in remote sensing, LiDAR, AI tools, GIS, and spatial modeling. Take a leading role in developing digital tools
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, Biomedical Sciences, Bioengineering, or related fields. Enthusiasm for fundamental science and attention to detail. Motivation to work with an international team of PhD students, postdocs and technicians
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PostDocs, and several Ph.D. students. More in general, research at LAAS-CNRS spans robotics, optimization, control, telecommunications, and nano-systems. The robotics department at LAAS-CNRS counts more than
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the project. The trait data collected in the PhD projects will also be used by a postdoc to assess how the impact of fire on tree populations is modulated by fire-related traits at paleo-ecological timescales
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, Urban Studies, Urban Analytics, Environmental Science, Computer Science, Architecture, or an appropriate master’s degree. Familiarity with Python/R programming, GIS and spatial analysis (e.g., ArcGIS
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resurgence in the number of armed conflicts and an increase in terrorist risks. This threat is notably reflected in the use of old and new generation chemical weapons. Among these chemical agents used as
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interest in agentic AI, online learning and optimization, and applications in economics. The full-time positions (100%) are initially offered for two years, with the possibility of extension, depending