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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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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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on spatial reasoning, semantic technologies and AI for geosciences. Where to apply Website https://www.academictransfer.com/en/jobs/356999/phd-semantic-modelling-of-geoda… Requirements Specific Requirements A
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LCA software (SimaPro, OpenLCA, Brightway). Skills in R or Python for data processing and analysis. Experience with soil or biodiversity monitoring methods. Experience using GIS (QGIS, ArcGIS
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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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. The applicant must have experience in Dynamic WebGIS site development. Geospatial (remote sensing, GIS, & GPS) data acquisition and processing through advanced Data/Image Mining Data Fusion Approach development
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
sets (e.g. GIS, Python, Tableau, other visualization skills) that can contribute to projects would be an asset. Special Physical/Mental Requirements Campus Security Authority Responsibilities Not
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changes to hydrometeorological forcing. Geomorphology, 414, 108383, https://doi.org/10.1016/j.geomorph.2022.108383 Eelsalu, M., Viigand, K., Soomere, T., Parnell, K., 2024a. Systematic analysis
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. Ability to multi-task, prioritize and meet deadlines. Ability to be flexible and change between projects and tasks as requirements change. Familiar with GIS and programming languages (e.g. R, SQL, Python
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) Preferred Qualifications: Proficiency in programming and data analysis tools (e.g., SQL, Python, R, GIS platforms), experience with integration of human subject data (e.g., questionnaires, interviews, eye