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geospatial data pipeline, discrete-event simulation, cost model and automated test suite. Extend model fidelity in identified areas: vehicle capacity, demand generation, routing, wind and no-fly constraints
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support research and teaching in the general area of Geomatics. The ideal candidate will have demonstrated expertise in one or more of the following areas: advanced geospatial science (e.g., global
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analysis and quantitative research methods, with a focus on geospatial analysis. The Calendar Year (CY) Associate position will be awarded for a one-year period beginning in September or October 2026, with
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analysis and quantitative research methods, with a focus on geospatial analysis. The Calendar Year (CY) Associate position will be awarded for a one-year period beginning in September or October 2026, with
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Range $17.76-28.43/hour Type of Position Staff Position Time Status Full-Time Required Education MS Click here for more information about equivalencies: https://hr.uky.edu/employment/working-uk
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, priorities, and modeling. Geospatial modeling To model the spatial distribution and quantify the suitability of waterfowl habitat conservation capital and opportunity in Michigan, including
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-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/ . Applications are now invited for the following post: Research Assistant
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Research Fellow to help build a new international Master of Science (Technology) degree programme, particularly in the fields of remote sensing and geospatial computing , while also advancing research
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feedstocks; 2) Evaluate the implications of these associations for extraction processes; and 3) Assess the critical mineral resource potential of unconventional wastes through geospatial and statistical
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[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
intervention.Insights from these engagements will be integrated with outputs from advanced AI models (e.g.,geospatial deep learning, graph neural networks, and explainable AI ) to refine the AMR risk maps and