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, with a strong interest in the integration of geospatial Artificial Intelligence (AI) and machine learning. Are you enthusiastic about the chance to combine research in Remote Sensing and AI with teaching
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. Existing predictive models provide useful but incomplete support because they cannot fully capture the complexity and heterogeneity of archaeological data. This underscores the need for approaches
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, socioeconomic, and geospatial data; Contribute to patient-level and population-level modelling approaches, including temporal, spatial, and multimodal prediction frameworks; Apply and evaluate methods for disease
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, and modeling. Geospatial modeling To model the spatial distribution and quantify the suitability of waterfowl habitat conservation capital and opportunity in Michigan, including consideration and
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fields: palaeoecological data synthesis and resilience to fire (Dr Jessie Woodbridge), geospatial analysis and archaeology (Prof Ralph Fyfe), palaeo-fire, FTIR and landscape modelling (Dr Michela Mariani
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atmospheric chemistry transport models to simulate the spatial distribution of ultrafine particles and use geostatistical interpolation tools to produce very high resolution concentration data. You will work
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computational background in statistical modeling, reproducible workflows, and large-scale data processing Experience with water quality, nutrient, sediment, watershed, or hydrologic datasets Experience developing
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Postdoctoral Research Associate position. The successful candidate will hold a Ph.D. in marine biology or a closely related field and will have experience in marine geospatial analytics, remote sensing, machine
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seeking applications for a Postdoctoral Researcher position in the field of computational land surface hydrology, with a focus on Foundation AI model pretraining and finetuning, geospatial data processing
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. The current focus of the group is on transboundary and shared water resources modeling for sustainable management and binational cooperation, with a strong emphasis on hydrologic modeling, participatory