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frequent cloud contamination. This scale mismatch prevents a coherent representation of radiative–thermal processes at the urban scale. This PhD will develop physics-informed deep learning models for data
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particular constraints and will be identical to those of the other researchers at the Observatory. The PhD thesis concerns the analytical and numerical modeling of galactic bars. The candidate will compare
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24 Nov 2025 Job Information Organisation/Company Grenoble INP - Institute of Engineering Department Engineering Research Field Engineering Researcher Profile Other Profession Positions PhD Positions
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programme aims to advance fundamental understanding of heat transfer and turbulence physics in wall-bounded flows through numerical simulations, data-driven modelling, and machine learning techniques. Key
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]. Reduced Order Modeling (ROM) and Data Assimilation (DA) are key tools for designing efficient monitoring solutions. In preparation for an upcoming ANR-funded project starting in 2026, we aim to develop a
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the following ones. Exploration of active auditing techniques for large machine learning models, use of reinforcement learning, potential application to recommender systems. The PhD will mainly investigate
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD student will join Pierre Paoletti's team
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your arrival. The EM2C laboratory is seeking a highly motivated candidate for a PhD in data-driven, physics-informed, and probabilistic modeling of turbulent combustion. The PhD work will combine
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25 Nov 2025 Job Information Organisation/Company enise Research Field Engineering » Civil engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country France
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25 Nov 2025 Job Information Organisation/Company enise Research Field Engineering » Civil engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country France