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) with state-of-the-art acoustic spatial capture-recapture (SCR) modelling. Together, these will move acoustic monitoring from species detection to within-species population inference. Required
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) with state-of-the-art acoustic spatial capture-recapture (SCR) modelling. Together, these will move acoustic monitoring from species detection to within-species population inference. Required
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process, from design to publication. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5175-AXEGAY-001/Default.aspx Requirements Research Field Biological sciences Education Level PhD or
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, but they are often computationally expensive and operationally demanding at high spatial and temporal resolution. This PhD research will develop advanced AI-based emulators for key physical
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Qualifications: Scientific : A PhD with expertise in a relevant discipline (landscape ecology, spatial ecology and modeling, agroecology, conservation decision-making, data science/data management
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real-time spatial audio and multisensory XR environments based on dynamically reconstructed physical spaces. You will combine spatial audio rendering, acoustic modelling, multisensory interaction, and
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University of Amsterdam (UvA) | Amsterdam, Provincie Noord-Holland | Netherlands | about 2 months ago
regions by, for example, explicitly incorporating dependencies between dike failures or the spatial extent of rainfall events in flood risk modelling. About FIRM Flood Insurance and Risk Management
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, magnetic bright points to solar jets, called spicules. The study will involve mathematical modelling complemented with observational data analysis using high spatial, temporal and spectral resolution
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Scientist (CS), PhD candidate – R1 Specialization and field of activity: Archaeology – History and archaeology of Roman Dacia: GIS methods and spatial analyses, photogrammetry and 3D modelling of
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in spatial modelling and data integration, including the use of spatial models for ecosystem services and the integration of diverse environmental, socioeconomic, and spatial datasets. • Statistical