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. Analyse, categorise and document collected seismological, geological, tectonic and built environment data and model and map the data in GIS environment. Develop high-fidelity Finite Element (FE) models of
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Linkage (SAIL) Databank research infrastructure and biomedical research facilities within the Institute of Life Science at Swansea University. We are looking for a Research Analyst - GIS to join our team
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, including GIS; the willingness to regularly travel to Africa, Asia and Middle East, and engage with country teams and stakeholders in these regions; a proven track record of working independently and taking
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particular focus on the women who were involved in one of Livingstone’s three cross continental journeys, this project will explore innovative digital approaches - for example GIS mapping, linked open data, AI
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clubs You should possess a relevant Ph.D/D.Phil with post-qualification research experience, possess specialist knowledge of geospatial energy modelling and optimization in Python and GIS, plus experience
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of advanced use of GIS. Ability and flexibility to work in multi-disciplinary teams. Evidence of pursuit of appropriate professional development opportunities. The ability to communicate in Welsh is desirable
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related interdisciplinary fields), geodesy and satellite positioning, Earth observation and remote sensing, GIS mapping and application, space weather and spatial computing. This research capability is
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the modelling environment of the Google Earth Engine and presenting results using geographical information systems (GIS) Proven ability to work without close supervision. Experience of field work in harsh and
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? Join our Global Information Services (GIS) team and play a pivotal role in revolutionizing how we deliver digital services to students, staff, and researchers across five international campuses including
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theory as well as engaging with pressing real-world problems that affect cities. You will have the opportunity to be supervised by internationally acclaimed scholars. Our strengths include: Big data, GIS