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. The work covers scene understanding with foundation models, navigation, and coordinated decisions within the robot team when communication is limited. Subject description Robotics and artificial intelligence
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of statistical and probabilistic methods for the analysis of complex data and systems. Research topics include distributional modelling, stochastic dependence, extreme-value phenomena, uncertainty quantification
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; • mathematical modelling, development of FEM models (preferably using Ansys), and simulations, particularly in the areas of electromagnetics, power losses, etc.; evaluation, verification, and optimization
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. The position will involve working with large regional and global datasets, developing and applying quantitative models, evaluating environmental and productivity outcomes, and supporting the design and analysis
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with large regional and global datasets, developing and applying quantitative models, evaluating environmental and productivity outcomes, and supporting the design and analysis of case studies
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of the modelling teams, and the cross-model synthesis comparing new pathways with the existing literature. Main tasks and responsibilities In the following items, we deliberately use the words “contribute” to and
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- Experience in modelling aquatic systems - Fieldwork experience - Ability to interact with non-scientific stakeholders Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5175-AXEGAY
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grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Dr Yingzhen Li (https://yingzhenli.net ) and her research group
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advanced statistical modelling, econometrics or machine learning with a particular focus on analysing large-scale behavioural data? Are you interested in developing new methodological approaches capable
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biodiversity, and interactions between environment and society. For more information on ASE please visit https://www.ntu.edu.sg/ase . The Yanyan Cheng research group is seeking a Research Fellow. This position