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certification based on proof of validity and reproducibility. The R&D questions concern : (For P1) "AI as a service" to enrich engineering: modelling of the changing, complex and uncertain environment
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manufacturing technologies and eager to develop and build experimental setups and combine this with physics-based modelling? Join us as a PhD candidate and contribute to making volumetric 3D printing predictable
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, underwater gliders, micro-AUVs, and ship-based sampling), remote sensing products, and high-resolution numerical models. The work will improve understanding of coastal ecosystem variability, support better
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-principles, network-based framework for plant water and carbon transport under climate extremes. The successful candidate will work at the interface of plant physiology, fluid mechanics, network theory
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improve streamflow forecasts in mountain watersheds of the Western US by integrating spatiotemporal data through AI/ML and physics-based snow modeling approaches. The position is based in the Department
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. The proposed modulation and control strategy should pursue the objectives of increasing the efficiency or reliability of the traction drive by means of suitably modified control based e.g.: on improved