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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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, 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
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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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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
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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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(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
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or more of the following areas: Spatial statistics Biogeography Landscape ecology or connectivity analysis Population modelling GIS Conservation planning Applicants should possess an interest or experience