-
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
-
, GIS, multi-criteria analysis, modeling approaches, socio-economic assessment, and multi-actor engagement. The research will include sampling, analysis and reporting on the effectiveness of targeted
-
medieval archaeology and we are particularly eager to hear from applicants with expertise in working with large datasets and mapping software such as GIS.
-
, medical humanities or who have experience working with large datasets or mapping software such as GIS.
-
an all-island Ancient Woodlands Inventory. The multidisciplinary project will draw on expertise in GIS and remote sensing, paleoecology, contemporary ecology, and history to assess temporal changes in
-
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
-
, 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
-
in the running of seismology field experiments. • Analysis of soil samples to produce data that can be used for the seismic modelling. • Development of digital soil mapping or GIS components
-
economic modelling and GIS. The successful candidate will provide expertise in Environmental Economics and Natural Capital accounting and valuation to support the work of Prof Richard Brazier on Upstream
-
(essential). Advanced experience in GIS (essential). Appropriate experience (essential) in either (1) machine learning (fully-convolutional neural networks) applied to remotely sensed data, either/or (2