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al., Nature Microbiology 2026). We are now investigating how these systems detect viral infection and activate nuclease effectors. Current directions include: Structural and biochemical analysis
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the state of São Paulo (Brazil), using Light Detection and Range-LiDAR profiling data covering the entire state. LiDAR technology will enable a detailed analysis of forest structure, while deep learning
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Labs as a research and training environment to develop future urban leaders and to identify innovative solutions to complex urban challenges. CUS focuses on four pillars: research, education, expertise
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sensitive to researchers’ needs and constraints? You will be part of a project that addresses these questions by combining policy analysis, behavioral research, and stakeholder co-creation. You will map
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doctoral degree in Epidemiology, Biostatistics, or a closely related quantitative field Demonstrate strong computational and statistical training, including experience with complex data analysis Have
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series of heterobimetallic complexes, graft them onto solid supports using a surface organometallic chemistry approach, and evaluate their catalytic performance in C-H bond activation. This work is part of
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analytical activities. Activity 1, Conducting experimental research and data analysis in the field of astrochemistry: Setting up and monitoring experimental protocols; Analyzing and interpreting scientific
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research, education, and innovation in the field of urban sciences. It uses Living Labs as a research and training environment to develop future urban leaders and to identify innovative solutions to complex
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to both accelerate the adoption of these core ideas and to further advance them. Building on our Guidance on the Safety Assurance of Autonomous Systems in Complex Environments (SACE), you will conduct and
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to support ongoing projects within the field of environmental data analytics. The successful candidate will bridge the gap between complex data processing and scientific communication, assisting in