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mathematics, mathematical statistics, probability, data analysis, longitudinal modelling, mixed models, or computational methods. Literature LaMotte, L. R. Foundations of Multiple Regression and Analysis
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the behaviour of the oxide layer and any coating. It will seek to provide as much information as possible on these phenomena using a test piece with multiple gauge-length sections, with different cross-sectional
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to identify multiple diseases using one blood sample or medical image. These tests can find diseases early, before symptoms develop. However, they often produce false positives, indicating disease when none is
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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 20 days ago
solutions exploit low-level landmarks (i.e., points or lines), dealing with large-scale and visually ambiguous environments remains highly challenging due to the inherent multiplicity, ambiguity and
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be co-supervised by a researcher from Sorbonne University (regarding the computational method development) and a researcher from the University of Melbourne (regarding the application of the new
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scientific methods, often in conjunction, including qualitative data collection and analysis via semi-structured interviews, structural micro-econometric modeling and estimation, and statistical analysis
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how multiple impacts, at different spatial and temporal scales, interact to transform the overall functioning of ecosystems using the resilience pivots method: the accumulation of impacts is analysed in
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, by integrating image analysis and docking across multiple structural states. The new tools will be validated through their application to VCP/p97 data, a key protein that plays a central role in
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, scalability, and safety. The position targets innovative methods that enable drones to operate more effectively across large agricultural areas while reducing the need for manual intervention. Key research