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geomatics, spatial modelling and simulation, and model exploration and evaluation (OpenMole platform https://openmole.org/ ). The recruited individual will also work directly with the project's entomologists
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synergy between the conceptual, technological, and societal challenges associated with this field. Spatial transcriptomics approaches provide an unprecedented view of how cells are organized within
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African ocean basins. - Help establish anticipatory governance to ensure that actions to realize transformative visions take into account multi-scale temporal and spatial dynamics. Where to apply Website
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molecules using site-specific conjugation strategies. - Development of DNA origami scaffolds to spatially organize and orient proteins for structural studies by single-particle Cryo-Electron Microscopy
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analysis of in situ measurement data and spatial remote sensing data - Participation in the scientific supervision of students - Participation in national and international mobility programs The project is
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using deep learning or causal learning methods. Candidates must have solid experience with large spatial and temporal datasets, large model manipulation, and HPC. The candidate must also have experience
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"Atmosphères et Observations Spatiales"CountryFranceCityGUYANCOURTGeofield Contact City GUYANCOURT Website http://www.latmos.ipsl.fr STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share
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) Scale up forest dynamics predictions from stand to landscape level. As the PhorEau model cannot be run in a fully spatially explicit manner at large spatial scales, the PhD candidate will interpolate
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atmospheric CO₂ and co-emitted species with inventories to improve them. Develop clustering methods to compare data under similar atmospheric conditions. Analyze spatial and satellite data to assess urban
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of ASICs dedicated to the readout of AC-LGAD (Alternating Current coupled Low-Gain Avalanche Diode) sensors, capable of very good timing (~30 ps) and spatial (~20 um) resolutions, which will be exploited by