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and Radiative Transfer models already developed as part of the ANR AGN_MELBa work. This might require running and adapting these models. Then, at a different spatial scale, the multi scale tools will be
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environmental sensor deployment, data analysis, and spatial mapping; Interest in nature-based solutions and working across disciplines; Excellent communication skills and the ability to collaborate with
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wider Marine Spatial Planning (MSP) implementation, and exploring how Blue Carbon may be included in the EU and Ireland’s reporting requirements in response to climate change (Paris Agreement/NDCs). In
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esophageal tissue using a variety of mouse models, organoid co-cultures and spatial sequencing technologies to identify relevant cell-cell interactions. We seek a curious, highly motivated, and creative
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the nature of the ambient noise in the reactor (spectrum, spatial and temporal distributions, levels), the approach consists in developing passive methods by determining their conditions of use but not
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or closely related sciences*; Knowledge about spatial modeling, remote sensing, and geographic information systems; Knowledge and expertise in spatial modeling using satellite or airborne images and airborne
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with R, statistical and spatial analysis Excellent communication and teamwork skills Excellent organizational skills Experience with field work in post-disturbance forest conditions (desired) Experience
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), ERJ (2022), ATVB (2022), and Hypertension (2023), Circulation (2024). We leverage cutting-edge technologies like genetic lineage tracing, CRISPR genomic editing, single-cell omics, and spatial
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Spatial mode multiplexing and orbital angular momentum The candidates will be considered until the position is filled. To be considered, all applicants must submit Cover letter Curriculum vitae with
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 2 months ago
increasingly utilizes big data, satellite imagery, register data, and advanced methods such as deep learning and neural networks to address major societal challenges related to spatial inequalities and