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Field
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management Nordic forestry Remote sensing data: ALS, TLS, satellite (e.g. sentinel2), aerial images Statistical modelling and analysis GIS e.g. ArcGis, Qgis, R Programming, e.g. R, Python, C etc. Field work
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methods, or forest ecology - Advanced Skills in R/Python, GIS, bioinformatics, and molecular lab work - Ability to work independently and in multidisciplinary teams - Strong English communication skills
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process, (5) develop a visualisation dashboard or interactive GIS application to support stakeholder engagement and policy translation. Further flexibility is offered by focusing on geohazards of personal
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across three main themes: 1. Urban Landscape Mapping – assisting in the collection and spatial analysis of perception data using digital and GIS tools; 2. Intergroup Perception and Interaction
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GIS technology are highly recommended. Database: The successful candidate will contribute to our project database. Specific Requirements You will perform field work in European archives and on
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command of English; very good Spanish, Dutch (or German) and ideally also French language skills will be necessary to be able to read your sources. Basic skills in IT and GIS technology are highly
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-ML to identify potential for upscaling a GIS model versus field collected geochemistry data to inform areas that would benefit from soil erosion mitigation and protection from land clearance. Training
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with process based erosion models, field measurements and atmospheric boundary layer processes detailed knowledge of GIS, Google Earth Engine, and programming in these systems high degree of initiative
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ability to work effectively both independently and in a team environment Merits: Experience in method development, working with spatial data, and GIS Experience with univariate and multivariate analysis and
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and development. Drivers license is a necessity for the work duties. Beneficial qualifications are experience of forestry analytics, using preferably R programming language and/or GIS softwares, and