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Field
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numerical modeling (ocean, sea ice, atmosphere) or in physical model emulation; Knowledge of data assimilation methods (4DVar, EnKF, En4DVar) and their practical implementation; Research experience in machine
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conditions • A broad range of further education and professional development programmes (for example language courses) • An occupational health management model with numerous attractive options, such as our
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 30 days ago
intelligence is growing at a fast pace, the bulk of the world's computing power remains targeted at modeling and predicting physical phenomena, such as climate models, weather forecasting, or nuclear physics
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; Giauque et al., 2023). The PhD work is structured around the following key milestones: 1. Implementation and validation of real-gas model: Develop, verify and validate real gas equations of state capable
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to solar-driven thermophotovoltaic systems. By combining numerical modeling with experimental development, this PhD aims to bridge the gap between theoretical cavity designs and practical TPV subsystem
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platforms, with emphasis on systems-level performance, synchronisation, geometry, and image formation. This aim will be fulfilled through a balanced, systems-level study combining numerical modelling
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). The project investigates how machine learning (ML) can be used to enhance the modelling of boundary layers in industrial CFD simulations, where complex geometries and computational constraints limit near-wall
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: Atmospheric AI Modeling and Forecasting This PhD position focuses on developing AI models that integrate real-time satellite communication signals, GNSS -based atmospheric observations, and numerical weather
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for complex models, causal inference and survival models, measurement uncertainty, and research for clinical trials and observational studies - and numerous collaborations with leading bio-medical research
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(beyond model training) Solid programming skills (Python required; C++/CUDA a plus depending on simulations) Interest in physics-based simulation, numerical methods, or computational engineering Motivation