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public access. Data analysis responsibilities will focus on the analytical efforts, both spatial and statistical, needed to develop new and potentially innovative datasets that provide insight
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Leaders program, nominees must have been working and residing outside Canada when the Eddie Goldenberg Research Chairs of Canada award (https://www.canada.ca/en/impact-pluschairs.html) is formally accepted
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Environmental Sciences, Ecology, Climatology or an equivalent discipline, obtained more than one year ago, with previous experience in remote sensing, satellite image analysis, the analysis of spatial trends and
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the cognitive neuroscience of language, multilingualism and spatial cognition, including entorhinal cortex based spatial grids and cognitive maps. The ideal candidate holds a degree in Biomedical Engineering
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for the fish defense against infectious diseases in aquaculture. Colourbox via Unsplash Colourbox More about the position The successful applicant will join Julien Resseguier’s “Spatial Immunology
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students as needed. Where to apply Website https://www.academictransfer.com/en/jobs/362841/doctoral-candidate-spatial-inte… Requirements Specific Requirements An MSc in physics, meteorology, hydrology
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | about 2 months ago
LevelMaster Degree or equivalent Skills/Qualifications Master's degree in Geography or related fields; Enrollment in a PhD programme in Geography or related fields; Experience in GIS, Spatial Modelling, and
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assigned Unit URL https://www.idahogeology.org/ Position Qualifications Required Experience Two years using Geographic Information Systems (GIS) software and spatial analysis techniques Using industry
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abundances by pathogen, time period, or region (curves, heatmaps), and spatialization of detections (Leaflet, Folium) for comparing multiple wastewater treatment plants. • Analysis of transmission flows
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emphasis on emerging wearable optically pumped magnetometer (OPM) technology. These methods and hardware will improve the spatial resolution, robustness, and computational foundations of MEG source imaging