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PhD fellowship in conservation science - developing and validating indicators of ecosystem integrity
indicator. This will be carried out through 1) Developing and validating indicators for the naturalness of hydrology and nutrient status from GIS layers and field assessments; 2) Developing and validating a
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letter; e) Knowledge of quantitative (including modelling) and qualitative research methodologies, remote sensing and GIS techniques and long-term ecological data analysis - information provided in the CV
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niche models; 5) Implementation of a GIS web application and a package for R, 6) Workshop + Course. - Coordinate Task 5 of the MontObEO project: Implementation of a GIS web application and a package for R
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data analysis including seismic reflection data, and GIS work and is suited to Earth Scientists with an interest in structural geology, geomorphology and tectonics. Duties and responsibilities The main
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of Geographic Information Systems (GIS) software. Application: Prospective candidates should send a two-page CV containing names and contact details of two referees and a 1-page cover letter outlining your
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including seismic reflection data, and GIS work and is suited to Earth Scientists with an interest in structural geology, geomorphology and tectonics. Duties and responsibilities The main responsibility
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fieldwork, especially in a coral reef setting - information provided in the CV and/or in the motivation letter; e) Demonstrated experience in data management and GIS - information provided in the CV and/or in
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clear advantage. Familiarity with spatial data analysis in R (GIS) is also an advantage. Applicants must be able to work independently and in a structured manner and demonstrate good collaborative skills
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, geography, spatial economics, computer science or related fields. You must have a professionally relevant background in conducting research or working with research projects. Advanced knowledge of GIS
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breeding season is a clear advantage. A documented interest for fieldwork involving wild birds in Scandinavian weather is a clear advantage. Familiarity with spatial data analysis in R (GIS) is also an