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Field
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forests are merits. Skills in planning, executing, and reporting scientific studies, as well as experience with statistical analyses, GIS and literature reviews (incl. meta-analyses) are meriting
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hydrological conditions is an advantage Experience with machine learning models and hydrologic/hydraulic modeling Strong familiarity with tools such as SWMM and GIS Proficiency in programming and data analysis
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Information Systems (GIS), programming in Python, practical forestry, nature conservation, cultural heritage management, as well as a driver’s license, are considered assets. Place of work: Umeå Forms
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Soils. • Knows, or is interested in, working with GIS/spatial data analysis, network analysis or modelling socio-economic structures. We offer an appointment in accordance with the Collective Labour
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dashboard with geospatial GIS data and supervise junior staff in this area. To be considered for the role you will hold a Ph.D/D.Phil in Population Health, Demography, Spatial Epidemiology, Geography
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engineering problems is highly desirable. Proficiency in programming languages such as Python, MATLAB, or R. Experience with digital tools for 3D modelling, GIS, or drone-based mapping. Ability to analyse
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and/or Geographical Information Systems (GIS), and be keen to learn new methods. The University of Birmingham is providing full funding for this project for a UK student. International students should
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for policy, practice and advocacy. The mixed-methods project will use a combination of participatory approaches including but not limited to GIS mapping, stakeholder analysis, network and systems mapping
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strong advantage. Experience conducting fieldwork GIS skills Experience in teaching and/or mentoring Courses or other experience in social anthropology Good problem-solving skills Driver’s license class B
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silviculture or ecological surveys, ability to work independently in the field, skills in GIS and R-statistical analysis, and good communications skills in written English. A drivers license is a necessity for