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in the field of atmospheric aerosol remote sensing, documenting and communicating the results to the scientific community. It will also include reviewing existing literature, documenting digital tools
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. In this project, we aim to develop digital tools combining density functional theory (DFT) and machine learning (ML) to accelerate the in-silico design of solid catalysts for the DA process. - Perform
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fluorescence but comes from second harmonic generation by the NCs). This microscope, using a fast digital holography device, allows BaTiO3 NCs (diameter ~130 nm) to be located in super-localization mode with
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, digital archiving, or computational methods) are essential; Capacity to publish in international journals and with major presses in the field will also be considered; Good communication, interpersonal and
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-ecological systems thinking Skills: ■ Curiosity and analytical mind to identify key issues and pathways to impact in order to represent them graphically. ■ Excellent written, digital, and oral communication
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the relevant ecosystems (user communities and digital technology experts). - Contribute to the definition of data processing workflows, and associated reference implementations, required to meet the
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the creation of high-precision digital twins. Activity 1: Integration of Photometric Stereo in Meshroom - Implement processing nodes for normal field and intrinsic color estimation. - Integrate deep learning