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and future climate and environment, including people’s interactions with the natural world and consequences for human wellbeing. MGeo advances and deploys cutting-edge methods, models and technologies
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efforts. We are looking for a Research Associate (GIS & Spatial Analytics) to lead geospatial modelling and validation work for the NParks MCCS project on community resilience against sea-level rise. Key
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
of microscopy, multiplexed immunofluorescence, spatial/protein imaging, or image-derived single-cell phenotypes. Machine learning, latent variable modeling, variational autoencoders, optimal transport, graph
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operational data from Alliander, with regular on-site visits and direct access to the practitioners who will use your models for congestion forecasting, spatial energy planning and flexibility assessment. You
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land loss and vegetation change at high spatial resolution Work closely with remote-sensing scientists, modelers, and empiricists across DOE laboratories and universities to address project objectives
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. Description: The transition in the Arctic from multi-year ice to first year ice raises the urgency of process understanding and modeling of sea ice formation/melt processes, including the interaction with
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Are you interested in the long‑term consequences of climate change and adaptation choices and the role that insurers and other financial institutions? Do you want to develop macroeconomic models
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Research Assistant Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 28 to 32 Application deadline: 1 October 2026 Apply now How are
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conduct research related to creating or testing deep learning models for genomics, exploring new techniques related to spatial simulations, or other topics discussed with the PI. Basic Qualifications Core
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communication skills and the ability to organise your own work are essential. Experience with demographic modelling, ecological databases, functional traits, spatial/environmental data or field ecology is desirable