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SD-26140- RESEARCH ENGINEER — GEOSPATIAL SOFTWARE, GEOAI AND DIGITAL TWINS FOR SUSTAINABLE TERRIT...
: https://www.list.lu/ How will you contribute? Within LIST’s Sustainable Urban and Built Environment (SUBE) group, this position focuses on geospatial technologies for sustainable, climate-neutral
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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
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scientific literature and formulate research questions at the intersection of AI, EO and advanced computing Develop and investigate AI methods for multisource EO data, exploring approaches such as geospatial
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welcome candidates with strong technical expertise in agent-based modelling, activity-based travel modelling, geospatial data science, generative modelling, mobility data analysis, or transport
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engineering schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Engineer in Autonomous Drone Navigation for Maritime Environments to
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engineering schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Fellow in Multi-Agent Path Planning for Autonomous Drone Operations
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policy, planning and design, 4) land use water, infrastructure and resource interactions, and 5) geospatial analysis and modeling. This position will play pivotal role is getting this research
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Helmholtz Association of German Research Centres | Geesthacht, Schleswig-Holstein | Germany | 2 months ago
), including uncertainty estimates. You will work on extending neural processes to large-scale, multimodal geospatial data, a setting that remains largely unexplored in current machine learning
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populations, mobility data, or geospatial data. Very good written and spoken English Ability to work independently and collaboratively in an interdisciplinary research environment The following
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environmental impacts of transportation infrastructure projects and drinking water supply. By integrating multi-fidelity geospatial and operational data with numerical modelling and data-driven approaches—such