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interpret analytical methods and findings, and manage day-to-day project activities, deliverables and timelines to ensure successful delivery of the programme’s objectives. We are looking for an experienced
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
for multiple-object tracking," IEEE TPAMI, 2022. 4. L. Vaquero, Y. Xu, X. Alameda-Pineda, V. M. Brea, and M. Mucientes, "Lost and found: Overcoming detector failures in online multi-object tracking," ECCV, 2024
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strong methodological profile, including Spatial and Spatio-Temporal Statistics, Functional Data Analysis and Process Monitoring, Bayesian Statistics, and Artificial Intelligence in Statistical Analysis
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Electron diffraction experience, including low-dose data collection and sample preparation. Experience with self-driving labs, materials acceleration platforms, active learning, or Bayesian experimental
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 3 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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. Our department is internationally recognized for its research in statistical methodology and theory, machine learning, applied statistics, Bayesian inference, and biostatistics, and its faculty
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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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chromatographic techniques. Integration and synthesis of previous data with newly collected data on fatty acids, cyanotoxins, and stable isotopes. Application of Bayesian mixing models to investigate consumer diets
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recognized research centers and institutes. The incumbent will join a collaborative department with internationally recognized expertise in biostatistics, statistical omics, bioinformatics, Bayesian