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or distributed optimization and do not adequately integrate ecological constraints, mechanical fatigue considerations or the need for adaptive and scalable solutions. This need is becoming critical as VPPs
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MSCA Doctoral Network HINA - Hybrid INtegration of Alkaline niobate - tantalate films for advanced photonic and piezoelectric devices | Montpellier, Languedoc Roussillon | France | 2 days ago
20 Sep 2026 Job Information Organisation/Company MSCA Doctoral Network HINA - Hybrid INtegration of Alkaline niobate - tantalate films for advanced photonic and piezoelectric devices Research Field
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needed for wet-bulb temperature retrieval -Co-locating satellite data with ground-based HadISD stations -Running neural networks and finding the architecture best suited to a case study on India
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will rely on: Developing machine learning-based surrogate AI models (physically informed neural networks) to predict the evolution of calcium carbonate precipitation rates associated with the reduction
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forms part of the University of Bordeaux's ecosystem of excellence (Department of Biological and Medical Sciences). It is also part of the regional research network Oncosphère, dedicated to cancer
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STLO) (https://eng-stlo.rennes.hub.inrae.fr/ ). This work is part of the “Predicting the browning of dairy powders by kinetic modeling of Maillard reaction and caramelization during drying and storage
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; · insufficient characterization of predictive uncertainty; · lack of robustness to distribution shifts, rare events, and adversarial conditions; · lack of traceability and auditability required by
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further insight into the distribution of chemical elements and 3D strain around the interfaces in these structures. The expected results include a better understanding of the growth mechanisms of Sn on III
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with LP2M teams (immunology, iPSC models) as well as from the project's international clinical and scientific network (Prof. Claus Peter Schmitt, Heidelberg; UCA GenomiX and MICA platforms, Nice
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infrastructures such as future-generation networks (6G and beyond). Context and Scientific Objectives : Digital technologies fundamentally transform competitive interactions by enabling firms to rely on automated