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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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background Documented proficiency in both oral and written English The following experiences and skills will be emphasized: Experience with handling large datasets and using R, GIS and bioinformatics tools
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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
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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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posi-tive samples, label uncertainty, the lack of negative labels, managing bi-ased information, and exploring appropriate evaluation metrics and strate-gies for gene prioritization models. For more
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basin. Teaching will typically be related to spatial ecology, GIS, ecosystem-based management or sustainability science. The applicants must present a description outlining the academic basis of the PhD
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Arctic basin. Teaching will typically be related to spatial ecology, GIS, ecosystem-based management or sustainability science. The applicants must present a description outlining the academic basis
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modelling. Extensive experience from field work, especially in harsh and/or polar climates. Working with 3D geomodelling (e.g. Petrel, Move, Leapfrog) and GIS software (QGIS, ArcGIS). Previous experience in
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explore if, how, and under what conditions violence, conflict, and wars alter gender relations at multiple scales. Empirically, we combine surveys, experiments, archival data, GIS, and qualitative field
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from field work, especially in harsh and/or polar climates. Working with 3D geomodelling (e.g. Petrel, Move, Leapfrog) and GIS software (QGIS, ArcGIS). Previous experience in integrating diverse type