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Are you fascinated by atomic-scale control of materials for future semiconductor and energy technologies? We are looking for three ambitious postdocs to work on advanced atomic layer processing
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statistical and machine learning, deep learning, chemometrics, multimodal data fusion, computer vision, uncertainty-aware modeling, stochastic control, optimization, and deployable edge-to-cloud decision
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, resource allocation, coordination, or distributed decision-making. Knowledge of wireless communication systems, communication-aware control, network optimization, or joint communication and sensing is highly
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of studying and optimizing the microstructural and mechanical properties of granular materials bonded by a solidified foam, within the framework of the ANR project BONDINGFOAM. This mission is structured around
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-dimensional scaffolds using FDM 3D printing for cell culture applications. Develop and optimize biomimetic materials with controlled mechanical and biochemical properties. Functionalize scaffolds with
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expertise plays a leading role in this global development. By controlling environmental factors such as temperature, light, and fertigation, growing conditions can be optimized for crop performance, allowing
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-regulatory elements and transcription factor genes that control key physiological pathways to specifically adjust targeted gene expression to reshape complex traits. The project will develop a breakthrough
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expertise, preparing them optimally for future challenges.
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expertise plays a leading role in this global development. By controlling environmental factors such as temperature, light, and fertigation, growing conditions can be optimized for crop performance, allowing
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: - A PhD degree in optimization or systems and control theory. - A strong mathematical background and an interest in conducting theoretical research. - A proven track record. - Excellent English