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transport sustainability in outer metropolitan areas and small cities. The main research tasks will be quantitative spatial and behavioural analysis, including accessibility analysis using GIS and network
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populating an existing Access database, create mapping of these data using a GIS and assisting in the writing of the synthetic analyses. You will have experience of: Accessing and querying HER and PAS datasets
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mental and physical health. The successful candidate will have skills in advanced quantitative methods including longitudinal data analysis, the use of time-series and panel data, and using GIS to generate
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medieval archaeology and we are particularly eager to hear from applicants with expertise in working with large datasets and mapping software such as GIS.
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, medical humanities or who have experience working with large datasets or mapping software such as GIS.
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global physical geographical attribute datasets of relevance to river sediment dynamics (e.g. DEMs, precipitation, land use/cover, reservoirs, population dynamics etc.) using GIS and bespoke code
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expertise in working with large datasets and mapping software such as GIS. Key responsibilities: To conduct research into the archaeological record of medieval England and to contribute to our computer model
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, medical humanities or who have experience working with large datasets or mapping software such as GIS. Key responsibilities: To understand and convey material of a specialist or highly technical nature
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ability to manage own areas of responsibility independently without constant direct supervision. Experience in Stata is essential and experience with Arc Gis and machine learning is desirable. We offer
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University of Southampton is primarily contributing to GIS-based modelling of ORE development and geotechnical aspects of ORE systems. We are seeking candidates with a background in geotechnical engineering