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Field
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preferred) Experience with processing and analysing remotely sensed data Experience with GIS and spatial data analytical techniques Experience with carrying out fieldwork in related fields (e.g. Geography
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analysis, statistical modelling or remote sensing experience with GIS, programming (R/Python) or handling large datasets demonstrated interest in method development or biodiversity research Great emphasis
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: Experience in method development, working with spatial data, and GIS Experience with univariate and multivariate analysis and working with large datasets Experience with working independently and organizing
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escrita en español e inglés - Experience in analysing traffic accident data and road safety - Advanced knowledge of spatial analysis and Geographic Information Systems (GIS). - Proficiency in statistical
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, forestry, bioinformatics, or a related field - Strong demonstrated interest in biodiversity, molecular methods, or forest ecology - Advanced Skills in R/Python, GIS, bioinformatics, and molecular lab work
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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