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potential of restoring perennial plantings (e.g., hedgerows, windbreaks, riparian restoration) in Canadian agricultural landscapes. The Postdoctoral Research Fellow (PDF) will support the Spatial Science
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practices. Demonstrated quantitative modelling skills, including experience with process-based models, biophysical models, spatial models, integrated assessment models, or related approaches. Capacity to
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science, resilience theory, disruption modelling, mobility systems, urban analytics, computational social science, agent-based modelling, causal inference, or spatial data science. Mandatory experiences and
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practices. Demonstrated quantitative modelling skills, including experience with process-based models, biophysical models, spatial models, integrated assessment models, or related approaches. Capacity to
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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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North Carolina State University- Department of Chemical and Biomolecular Engineering | Raleigh, North Carolina | United States | about 19 hours ago
automatically redirected to an external site after 5 seconds) Save job Click to add the job to your shortlist Send job Job Details Duties and Responsibilities: The Lu Lab ( https://changlulab.com ), based at
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ecological drivers of productive fishing grounds in the United Arab Emirates. Working in collaboration with Emirates Nature–WWF and government partners, the successful candidate will lead the spatial ecology
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ecological drivers of productive fishing grounds in the United Arab Emirates. Working in collaboration with Emirates Nature–WWF and government partners, the successful candidate will lead the spatial ecology
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ecological drivers of productive fishing grounds in the United Arab Emirates. Working in collaboration with Emirates Nature–WWF and government partners, the successful candidate will lead the spatial ecology
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PhenoRob2 Core Project 6, which aims to fuse information from advanced sensing technologies with process-based and data-driven models across spatial and temporal scales. Your tasks: Further development