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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
covers the object's entire life cycle and uses real-time data sent by sensors on the object to simulate its behavior, monitor operations, and anticipate its functioning. Partial differential equation (PDE
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for mathematics across the CWTS Leiden, ARWU, USNews, and QS rankings. In Statistics, the School has research strengths in Bayesian and Monte Carlo Methods, Biostatistics and Ecology, Combinatorics, Data Science
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for mathematics across the CWTS Leiden, ARWU, USNews, and QS rankings. In Statistics, the School has research strengths in Bayesian and Monte Carlo Methods, Biostatistics and Ecology, Combinatorics, Data Science
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to the activity. C2 Developing track record of research outputs compatible with enhancing the School’s research profile in accordance with School objectives. C3 Proven commitment to supporting
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objective is to develop methods that move beyond correlation-based prediction toward causal reasoning, intervention-aware modelling, and interpretable AI systems. This transition from correlation to causation
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, Combinatorics, Geometry, Mathematical Physics and Number Theory, Bayesian and Monte Carlo Methods, Mathematical Modelling and Biomathematics, Quantum Mathematics, Biostatistics and Ecology, Computational
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neural networks, covering representation, optimisation, generalisation, robustness and reliability, while remaining sufficiently tractable to inform engineering practice. A key objective is to transform
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, we do not know how the shape and flexibility of particles control their preferential sampling of turbulence. The main objective of the thesis is to optimize particle shapes and mechanical properties
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alignment with BEC's research objectives. Main Tasks and Responsibilities Develop workflows for integrated conservation planning using optimization frameworks (Position 1). Prepare large (spatial) datasets
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to maintain high label efficiency in non-stationary environments, supported by reproducible benchmarks and principled evaluation protocols. Key Objectives O1: Drift-aware querying: Develop acquisition functions