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Field
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-trained tool on other image sensors and at different mountain sites presents difficulties. Specifically, generalizing a model trained on a specific site to other sites with different environmental
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 5 days ago
petals of roses with different petal numbers vary in shape and size. Accurately quantifying the size and shape of petals within a rose, at different growth stages, allows to study fundamental biological
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numerical methods for the inverse design of nanophotonic structures enabling broadband, multiparameter sensing in fiber-based systems. The project is a collaboration between AMOLF, TU Eindhoven, and
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these effects in different solvents with molecules of different types: organic or inorganic, structure chirality or atropoisomeria. Main activities: This project is based on Optical Raman Activity (OAR
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the following areas will be considered: Microscopy development and applications: Design, construction and application of high-speed 3D microscopy methods including our SCAPE / light-sheet approaches, two-photon
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mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us
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including finite element simulations. You will have the opportunity to develop and test models for unique device structures including graded channel/multi-channel GaN RF HEMTs, as well as state-of-the-art GaN
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advanced microbial cultivation & microbiome metabolomics high-throughput & AI-driven antifungal discovery fungal symbiosis and pathogenicity fungal metabolites, epigenetics & microbiome structuring
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wide and ultra-wide bandgap semiconductor materials and devices, including GaN and Gallium Oxide. You will have the opportunity to work with unique device structures including graded channel and multi
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-throughput and AI-driven antifungal discovery fungal symbiosis an& pathogenicity fungal metabolites, epigenetics & microbiome structuring computational microbiomics & systems biology of fungal infections