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, hydrological and water resources management, AI, GIS, geography, etc. • Prior experience/knowledge of the following models, software/programming languages will be preferred: -Extreme value analysis -Land
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with competent knowledge in some of the following areas: civil engineering, climate science, hydrological and water resources management, AI, GIS, geography, etc. • Prior experience/knowledge
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programming languages, such as Matlab, R, or Python, within a GIS environment Able to publish and communicate effectively to both technical and non-technical audiences Able to advance research for emerging
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: a. Ability to communicate and interact with different audiences, academics and non-academics; b. Teamwork skills; c. Knowledge and experience in Geographic Information Systems (GIS
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Europe is desirable.To conduct research within later prehistoric and early medieval archaeology, focusing on fieldwork, remote sensing, GIS and targeted excavation at major cult landscapes. To assist in
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on fieldwork, remote sensing, GIS and targeted excavation at major cult landscapes. To assist in developing archaeological datasets for Cult Landscapes in first-millennium AD Ireland, and for comparable sites
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on fieldwork, remote sensing, GIS and targeted excavation at major cult landscapes. To assist in developing archaeological datasets for Cult Landscapes in first-millennium AD Ireland, and for comparable sites
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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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processing, and data visualization will be important. Spatial data models are natural starting points, and research on Geographical Information Systems (GIS) is expected to be central. Empirically
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, and research on Geographical Information Systems (GIS) is expected to be central. Empirically, the research will be based in concrete activities of the HISP Centre, University of Oslo, and processes