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- University of Bergen
- University of Oslo
- Norwegian University of Life Sciences (NMBU)
- UiT The Arctic University of Norway
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- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
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Field
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: Experience with field- and laboratory work and data collection Strong skills in applied statistics, with documented experience Strong programming skills and experience in machine-learning Experience with GIS
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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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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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experiences and skills will be emphasized: Experience with handling large datasets and using R, GIS and bioinformatics tools. Experience with modelling methods, including analysis of ecological gradient
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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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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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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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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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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